{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Factor Model of Asset Return (solution)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: numpy==1.14.5 in /opt/conda/lib/python3.6/site-packages (from -r requirements.txt (line 1))\n",
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      "Requirement already satisfied: multipledispatch>=0.4.8 in /opt/conda/lib/python3.6/site-packages (from zipline===1.2.0->-r requirements.txt (line 6))\n",
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      "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /opt/conda/lib/python3.6/site-packages (from requests->plotly==2.2.3->-r requirements.txt (line 3))\n",
      "Requirement already satisfied: idna<2.7,>=2.5 in /opt/conda/lib/python3.6/site-packages (from requests->plotly==2.2.3->-r requirements.txt (line 3))\n",
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      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.6/site-packages (from requests->plotly==2.2.3->-r requirements.txt (line 3))\n",
      "Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /opt/conda/lib/python3.6/site-packages (from nbformat>=4.2->plotly==2.2.3->-r requirements.txt (line 3))\n",
      "Requirement already satisfied: traitlets>=4.1 in /opt/conda/lib/python3.6/site-packages (from nbformat>=4.2->plotly==2.2.3->-r requirements.txt (line 3))\n",
      "Requirement already satisfied: ipython-genutils in /opt/conda/lib/python3.6/site-packages (from nbformat>=4.2->plotly==2.2.3->-r requirements.txt (line 3))\n",
      "Requirement already satisfied: jupyter-core in /opt/conda/lib/python3.6/site-packages (from nbformat>=4.2->plotly==2.2.3->-r requirements.txt (line 3))\n",
      "Requirement already satisfied: requests-ftp in /opt/conda/lib/python3.6/site-packages (from pandas-datareader<0.6,>=0.2.1->zipline===1.2.0->-r requirements.txt (line 6))\n",
      "Requirement already satisfied: python-editor>=0.3 in /opt/conda/lib/python3.6/site-packages (from alembic>=0.7.7->zipline===1.2.0->-r requirements.txt (line 6))\n",
      "\u001b[33mYou are using pip version 9.0.1, however version 18.1 is available.\n",
      "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "!{sys.executable} -m pip install -r requirements.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import time\n",
    "import os\n",
    "import quiz_helper\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "plt.style.use('ggplot')\n",
    "plt.rcParams['figure.figsize'] = (14, 8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### data bundle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import quiz_helper\n",
    "from zipline.data import bundles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data Registered\n"
     ]
    }
   ],
   "source": [
    "os.environ['ZIPLINE_ROOT'] = os.path.join(os.getcwd(), '..', '..','data','module_4_quizzes_eod')\n",
    "ingest_func = bundles.csvdir.csvdir_equities(['daily'], quiz_helper.EOD_BUNDLE_NAME)\n",
    "bundles.register(quiz_helper.EOD_BUNDLE_NAME, ingest_func)\n",
    "print('Data Registered')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Build pipeline engine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from zipline.pipeline import Pipeline\n",
    "from zipline.pipeline.factors import AverageDollarVolume\n",
    "from zipline.utils.calendars import get_calendar\n",
    "\n",
    "universe = AverageDollarVolume(window_length=120).top(500) \n",
    "trading_calendar = get_calendar('NYSE') \n",
    "bundle_data = bundles.load(quiz_helper.EOD_BUNDLE_NAME)\n",
    "engine = quiz_helper.build_pipeline_engine(bundle_data, trading_calendar)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### View Data¶\n",
    "With the pipeline engine built, let's get the stocks at the end of the period in the universe we're using. We'll use these tickers to generate the returns data for the our risk model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Equity(0 [A]),\n",
       " Equity(1 [AAL]),\n",
       " Equity(2 [AAP]),\n",
       " Equity(3 [AAPL]),\n",
       " Equity(4 [ABBV]),\n",
       " Equity(5 [ABC]),\n",
       " Equity(6 [ABT]),\n",
       " Equity(7 [ACN]),\n",
       " Equity(8 [ADBE]),\n",
       " Equity(9 [ADI]),\n",
       " Equity(10 [ADM]),\n",
       " Equity(11 [ADP]),\n",
       " Equity(12 [ADS]),\n",
       " Equity(13 [ADSK]),\n",
       " Equity(14 [AEE]),\n",
       " Equity(15 [AEP]),\n",
       " Equity(16 [AES]),\n",
       " Equity(17 [AET]),\n",
       " Equity(18 [AFL]),\n",
       " Equity(19 [AGN]),\n",
       " Equity(20 [AIG]),\n",
       " Equity(21 [AIV]),\n",
       " Equity(22 [AIZ]),\n",
       " Equity(23 [AJG]),\n",
       " Equity(24 [AKAM]),\n",
       " Equity(25 [ALB]),\n",
       " Equity(26 [ALGN]),\n",
       " Equity(27 [ALK]),\n",
       " Equity(28 [ALL]),\n",
       " Equity(29 [ALLE]),\n",
       " Equity(30 [ALXN]),\n",
       " Equity(31 [AMAT]),\n",
       " Equity(32 [AMD]),\n",
       " Equity(33 [AME]),\n",
       " Equity(34 [AMG]),\n",
       " Equity(35 [AMGN]),\n",
       " Equity(36 [AMP]),\n",
       " Equity(37 [AMT]),\n",
       " Equity(38 [AMZN]),\n",
       " Equity(39 [ANDV]),\n",
       " Equity(40 [ANSS]),\n",
       " Equity(41 [ANTM]),\n",
       " Equity(42 [AON]),\n",
       " Equity(43 [AOS]),\n",
       " Equity(44 [APA]),\n",
       " Equity(45 [APC]),\n",
       " Equity(46 [APD]),\n",
       " Equity(47 [APH]),\n",
       " Equity(48 [ARE]),\n",
       " Equity(49 [ARNC]),\n",
       " Equity(50 [ATVI]),\n",
       " Equity(51 [AVB]),\n",
       " Equity(52 [AVGO]),\n",
       " Equity(53 [AVY]),\n",
       " Equity(54 [AWK]),\n",
       " Equity(55 [AXP]),\n",
       " Equity(56 [AYI]),\n",
       " Equity(57 [AZO]),\n",
       " Equity(58 [BA]),\n",
       " Equity(59 [BAC]),\n",
       " Equity(60 [BAX]),\n",
       " Equity(61 [BBT]),\n",
       " Equity(62 [BBY]),\n",
       " Equity(63 [BCR]),\n",
       " Equity(64 [BDX]),\n",
       " Equity(65 [BEN]),\n",
       " Equity(66 [BIIB]),\n",
       " Equity(67 [BK]),\n",
       " Equity(68 [BLK]),\n",
       " Equity(69 [BLL]),\n",
       " Equity(70 [BMY]),\n",
       " Equity(71 [BSX]),\n",
       " Equity(72 [BWA]),\n",
       " Equity(73 [BXP]),\n",
       " Equity(74 [C]),\n",
       " Equity(75 [CA]),\n",
       " Equity(76 [CAG]),\n",
       " Equity(77 [CAH]),\n",
       " Equity(78 [CAT]),\n",
       " Equity(79 [CB]),\n",
       " Equity(80 [CBG]),\n",
       " Equity(81 [CBOE]),\n",
       " Equity(82 [CBS]),\n",
       " Equity(83 [CCI]),\n",
       " Equity(84 [CCL]),\n",
       " Equity(85 [CELG]),\n",
       " Equity(86 [CERN]),\n",
       " Equity(87 [CF]),\n",
       " Equity(88 [CFG]),\n",
       " Equity(89 [CHD]),\n",
       " Equity(90 [CHK]),\n",
       " Equity(91 [CHRW]),\n",
       " Equity(92 [CHTR]),\n",
       " Equity(93 [CI]),\n",
       " Equity(94 [CINF]),\n",
       " Equity(95 [CL]),\n",
       " Equity(96 [CLX]),\n",
       " Equity(97 [CMA]),\n",
       " Equity(98 [CMCSA]),\n",
       " Equity(99 [CME]),\n",
       " Equity(100 [CMG]),\n",
       " Equity(101 [CMI]),\n",
       " Equity(102 [CMS]),\n",
       " Equity(103 [CNC]),\n",
       " Equity(104 [CNP]),\n",
       " Equity(105 [COF]),\n",
       " Equity(106 [COG]),\n",
       " Equity(107 [COL]),\n",
       " Equity(108 [COO]),\n",
       " Equity(109 [COP]),\n",
       " Equity(110 [COST]),\n",
       " Equity(111 [COTY]),\n",
       " Equity(112 [CPB]),\n",
       " Equity(113 [CRM]),\n",
       " Equity(114 [CSCO]),\n",
       " Equity(115 [CSRA]),\n",
       " Equity(116 [CSX]),\n",
       " Equity(117 [CTAS]),\n",
       " Equity(118 [CTL]),\n",
       " Equity(119 [CTSH]),\n",
       " Equity(120 [CTXS]),\n",
       " Equity(121 [CVS]),\n",
       " Equity(122 [CVX]),\n",
       " Equity(123 [CXO]),\n",
       " Equity(124 [D]),\n",
       " Equity(125 [DAL]),\n",
       " Equity(126 [DE]),\n",
       " Equity(127 [DFS]),\n",
       " Equity(128 [DG]),\n",
       " Equity(129 [DGX]),\n",
       " Equity(130 [DHI]),\n",
       " Equity(131 [DHR]),\n",
       " Equity(132 [DIS]),\n",
       " Equity(133 [DISCA]),\n",
       " Equity(134 [DISCK]),\n",
       " Equity(135 [DISH]),\n",
       " Equity(136 [DLR]),\n",
       " Equity(137 [DLTR]),\n",
       " Equity(138 [DOV]),\n",
       " Equity(139 [DPS]),\n",
       " Equity(140 [DRE]),\n",
       " Equity(141 [DRI]),\n",
       " Equity(142 [DTE]),\n",
       " Equity(143 [DUK]),\n",
       " Equity(144 [DVA]),\n",
       " Equity(145 [DVN]),\n",
       " Equity(146 [EA]),\n",
       " Equity(147 [EBAY]),\n",
       " Equity(148 [ECL]),\n",
       " Equity(149 [ED]),\n",
       " Equity(150 [EFX]),\n",
       " Equity(151 [EIX]),\n",
       " Equity(152 [EL]),\n",
       " Equity(153 [EMN]),\n",
       " Equity(154 [EMR]),\n",
       " Equity(155 [EOG]),\n",
       " Equity(156 [EQIX]),\n",
       " Equity(157 [EQR]),\n",
       " Equity(158 [EQT]),\n",
       " Equity(159 [ES]),\n",
       " Equity(160 [ESRX]),\n",
       " Equity(161 [ESS]),\n",
       " Equity(162 [ETFC]),\n",
       " Equity(163 [ETN]),\n",
       " Equity(164 [ETR]),\n",
       " Equity(165 [EVHC]),\n",
       " Equity(166 [EW]),\n",
       " Equity(167 [EXC]),\n",
       " Equity(168 [EXPD]),\n",
       " Equity(169 [EXPE]),\n",
       " Equity(170 [EXR]),\n",
       " Equity(171 [F]),\n",
       " Equity(172 [FAST]),\n",
       " Equity(173 [FB]),\n",
       " Equity(174 [FBHS]),\n",
       " Equity(175 [FCX]),\n",
       " Equity(176 [FDX]),\n",
       " Equity(177 [FE]),\n",
       " Equity(178 [FFIV]),\n",
       " Equity(179 [FIS]),\n",
       " Equity(180 [FISV]),\n",
       " Equity(181 [FITB]),\n",
       " Equity(182 [FL]),\n",
       " Equity(183 [FLIR]),\n",
       " Equity(184 [FLR]),\n",
       " Equity(185 [FLS]),\n",
       " Equity(186 [FMC]),\n",
       " Equity(187 [FOX]),\n",
       " Equity(188 [FOXA]),\n",
       " Equity(189 [FRT]),\n",
       " Equity(190 [FTI]),\n",
       " Equity(191 [GD]),\n",
       " Equity(192 [GE]),\n",
       " Equity(193 [GGP]),\n",
       " Equity(194 [GILD]),\n",
       " Equity(195 [GIS]),\n",
       " Equity(196 [GLW]),\n",
       " Equity(197 [GM]),\n",
       " Equity(198 [GOOG]),\n",
       " Equity(199 [GOOGL]),\n",
       " Equity(200 [GPC]),\n",
       " Equity(201 [GPN]),\n",
       " Equity(202 [GPS]),\n",
       " Equity(203 [GRMN]),\n",
       " Equity(204 [GS]),\n",
       " Equity(205 [GT]),\n",
       " Equity(206 [GWW]),\n",
       " Equity(207 [HAL]),\n",
       " Equity(208 [HAS]),\n",
       " Equity(209 [HBAN]),\n",
       " Equity(210 [HBI]),\n",
       " Equity(211 [HCA]),\n",
       " Equity(212 [HCN]),\n",
       " Equity(213 [HCP]),\n",
       " Equity(214 [HD]),\n",
       " Equity(215 [HES]),\n",
       " Equity(216 [HIG]),\n",
       " Equity(217 [HLT]),\n",
       " Equity(218 [HOG]),\n",
       " Equity(219 [HOLX]),\n",
       " Equity(220 [HON]),\n",
       " Equity(221 [HP]),\n",
       " Equity(222 [HPE]),\n",
       " Equity(223 [HPQ]),\n",
       " Equity(224 [HRB]),\n",
       " Equity(225 [HRL]),\n",
       " Equity(226 [HRS]),\n",
       " Equity(227 [HSIC]),\n",
       " Equity(228 [HST]),\n",
       " Equity(229 [HSY]),\n",
       " Equity(230 [HUM]),\n",
       " Equity(231 [IBM]),\n",
       " Equity(232 [ICE]),\n",
       " Equity(233 [IDXX]),\n",
       " Equity(234 [IFF]),\n",
       " Equity(235 [ILMN]),\n",
       " Equity(236 [INCY]),\n",
       " Equity(237 [INFO]),\n",
       " Equity(238 [INTC]),\n",
       " Equity(239 [INTU]),\n",
       " Equity(240 [IP]),\n",
       " Equity(241 [IPG]),\n",
       " Equity(242 [IR]),\n",
       " Equity(243 [IRM]),\n",
       " Equity(244 [ISRG]),\n",
       " Equity(245 [IT]),\n",
       " Equity(246 [ITW]),\n",
       " Equity(247 [IVZ]),\n",
       " Equity(248 [JBHT]),\n",
       " Equity(249 [JCI]),\n",
       " Equity(250 [JEC]),\n",
       " Equity(251 [JNJ]),\n",
       " Equity(252 [JNPR]),\n",
       " Equity(253 [JPM]),\n",
       " Equity(254 [JWN]),\n",
       " Equity(255 [K]),\n",
       " Equity(256 [KEY]),\n",
       " Equity(257 [KHC]),\n",
       " Equity(258 [KIM]),\n",
       " Equity(259 [KLAC]),\n",
       " Equity(260 [KMB]),\n",
       " Equity(261 [KMI]),\n",
       " Equity(262 [KMX]),\n",
       " Equity(263 [KO]),\n",
       " Equity(264 [KORS]),\n",
       " Equity(265 [KR]),\n",
       " Equity(266 [KSS]),\n",
       " Equity(267 [KSU]),\n",
       " Equity(268 [L]),\n",
       " Equity(269 [LB]),\n",
       " Equity(270 [LEG]),\n",
       " Equity(271 [LEN]),\n",
       " Equity(272 [LH]),\n",
       " Equity(273 [LKQ]),\n",
       " Equity(274 [LLL]),\n",
       " Equity(275 [LLY]),\n",
       " Equity(276 [LMT]),\n",
       " Equity(277 [LNC]),\n",
       " Equity(278 [LNT]),\n",
       " Equity(279 [LOW]),\n",
       " Equity(280 [LRCX]),\n",
       " Equity(281 [LUK]),\n",
       " Equity(282 [LUV]),\n",
       " Equity(283 [LVLT]),\n",
       " Equity(284 [LYB]),\n",
       " Equity(285 [M]),\n",
       " Equity(286 [MA]),\n",
       " Equity(287 [MAA]),\n",
       " Equity(288 [MAC]),\n",
       " Equity(289 [MAR]),\n",
       " Equity(290 [MAS]),\n",
       " Equity(291 [MAT]),\n",
       " Equity(292 [MCD]),\n",
       " Equity(293 [MCHP]),\n",
       " Equity(294 [MCK]),\n",
       " Equity(295 [MCO]),\n",
       " Equity(296 [MDLZ]),\n",
       " Equity(297 [MDT]),\n",
       " Equity(298 [MET]),\n",
       " Equity(299 [MGM]),\n",
       " Equity(300 [MHK]),\n",
       " Equity(301 [MKC]),\n",
       " Equity(302 [MLM]),\n",
       " Equity(303 [MMC]),\n",
       " Equity(304 [MNST]),\n",
       " Equity(305 [MO]),\n",
       " Equity(306 [MON]),\n",
       " Equity(307 [MOS]),\n",
       " Equity(308 [MPC]),\n",
       " Equity(309 [MRK]),\n",
       " Equity(310 [MRO]),\n",
       " Equity(311 [MS]),\n",
       " Equity(312 [MSFT]),\n",
       " Equity(313 [MSI]),\n",
       " Equity(314 [MTB]),\n",
       " Equity(315 [MTD]),\n",
       " Equity(316 [MU]),\n",
       " Equity(317 [MYL]),\n",
       " Equity(318 [NAVI]),\n",
       " Equity(319 [NBL]),\n",
       " Equity(320 [NDAQ]),\n",
       " Equity(321 [NEE]),\n",
       " Equity(322 [NEM]),\n",
       " Equity(323 [NFLX]),\n",
       " Equity(324 [NFX]),\n",
       " Equity(325 [NI]),\n",
       " Equity(326 [NKE]),\n",
       " Equity(327 [NLSN]),\n",
       " Equity(328 [NOC]),\n",
       " Equity(329 [NOV]),\n",
       " Equity(330 [NRG]),\n",
       " Equity(331 [NSC]),\n",
       " Equity(332 [NTAP]),\n",
       " Equity(333 [NTRS]),\n",
       " Equity(334 [NUE]),\n",
       " Equity(335 [NVDA]),\n",
       " Equity(336 [NWL]),\n",
       " Equity(337 [NWS]),\n",
       " Equity(338 [NWSA]),\n",
       " Equity(339 [O]),\n",
       " Equity(340 [OKE]),\n",
       " Equity(341 [OMC]),\n",
       " Equity(342 [ORCL]),\n",
       " Equity(343 [ORLY]),\n",
       " Equity(344 [OXY]),\n",
       " Equity(345 [PAYX]),\n",
       " Equity(346 [PBCT]),\n",
       " Equity(347 [PCAR]),\n",
       " Equity(348 [PCG]),\n",
       " Equity(349 [PDCO]),\n",
       " Equity(350 [PEG]),\n",
       " Equity(351 [PEP]),\n",
       " Equity(352 [PFE]),\n",
       " Equity(353 [PFG]),\n",
       " Equity(354 [PG]),\n",
       " Equity(355 [PGR]),\n",
       " Equity(356 [PH]),\n",
       " Equity(357 [PHM]),\n",
       " Equity(358 [PKG]),\n",
       " Equity(359 [PKI]),\n",
       " Equity(360 [PLD]),\n",
       " Equity(361 [PM]),\n",
       " Equity(362 [PNC]),\n",
       " Equity(363 [PNR]),\n",
       " Equity(364 [PNW]),\n",
       " Equity(365 [PPG]),\n",
       " Equity(366 [PPL]),\n",
       " Equity(367 [PRGO]),\n",
       " Equity(368 [PRU]),\n",
       " Equity(369 [PSA]),\n",
       " Equity(370 [PSX]),\n",
       " Equity(371 [PVH]),\n",
       " Equity(372 [PWR]),\n",
       " Equity(373 [PX]),\n",
       " Equity(374 [PXD]),\n",
       " Equity(375 [PYPL]),\n",
       " Equity(376 [QCOM]),\n",
       " Equity(377 [QRVO]),\n",
       " Equity(378 [RCL]),\n",
       " Equity(379 [RE]),\n",
       " Equity(380 [REG]),\n",
       " Equity(381 [REGN]),\n",
       " Equity(382 [RF]),\n",
       " Equity(383 [RHI]),\n",
       " Equity(384 [RHT]),\n",
       " Equity(385 [RJF]),\n",
       " Equity(386 [RL]),\n",
       " Equity(387 [RMD]),\n",
       " Equity(388 [ROK]),\n",
       " Equity(389 [ROP]),\n",
       " Equity(390 [ROST]),\n",
       " Equity(391 [RRC]),\n",
       " Equity(392 [RSG]),\n",
       " Equity(393 [RTN]),\n",
       " Equity(394 [SBAC]),\n",
       " Equity(395 [SBUX]),\n",
       " Equity(396 [SCG]),\n",
       " Equity(397 [SCHW]),\n",
       " Equity(398 [SEE]),\n",
       " Equity(399 [SHW]),\n",
       " Equity(400 [SIG]),\n",
       " Equity(401 [SJM]),\n",
       " Equity(402 [SLB]),\n",
       " Equity(403 [SLG]),\n",
       " Equity(404 [SNA]),\n",
       " Equity(405 [SNI]),\n",
       " Equity(406 [SNPS]),\n",
       " Equity(407 [SO]),\n",
       " Equity(408 [SPG]),\n",
       " Equity(409 [SPLS]),\n",
       " Equity(410 [SRCL]),\n",
       " Equity(411 [SRE]),\n",
       " Equity(412 [STI]),\n",
       " Equity(413 [STT]),\n",
       " Equity(414 [STX]),\n",
       " Equity(415 [STZ]),\n",
       " Equity(416 [SWK]),\n",
       " Equity(417 [SWKS]),\n",
       " Equity(418 [SYF]),\n",
       " Equity(419 [SYK]),\n",
       " Equity(420 [SYMC]),\n",
       " Equity(421 [SYY]),\n",
       " Equity(422 [T]),\n",
       " Equity(423 [TAP]),\n",
       " Equity(424 [TDG]),\n",
       " Equity(425 [TEL]),\n",
       " Equity(426 [TGT]),\n",
       " Equity(427 [TIF]),\n",
       " Equity(428 [TJX]),\n",
       " Equity(429 [TMK]),\n",
       " Equity(430 [TMO]),\n",
       " Equity(431 [TRIP]),\n",
       " Equity(432 [TROW]),\n",
       " Equity(433 [TRV]),\n",
       " Equity(434 [TSCO]),\n",
       " Equity(435 [TSN]),\n",
       " Equity(436 [TSS]),\n",
       " Equity(437 [TWX]),\n",
       " Equity(438 [TXN]),\n",
       " Equity(439 [TXT]),\n",
       " Equity(440 [UAA]),\n",
       " Equity(441 [UAL]),\n",
       " Equity(442 [UDR]),\n",
       " Equity(443 [UHS]),\n",
       " Equity(444 [ULTA]),\n",
       " Equity(445 [UNH]),\n",
       " Equity(446 [UNM]),\n",
       " Equity(447 [UNP]),\n",
       " Equity(448 [UPS]),\n",
       " Equity(449 [URI]),\n",
       " Equity(450 [USB]),\n",
       " Equity(451 [UTX]),\n",
       " Equity(452 [V]),\n",
       " Equity(453 [VAR]),\n",
       " Equity(454 [VFC]),\n",
       " Equity(455 [VIAB]),\n",
       " Equity(456 [VLO]),\n",
       " Equity(457 [VMC]),\n",
       " Equity(458 [VNO]),\n",
       " Equity(459 [VRSK]),\n",
       " Equity(460 [VRSN]),\n",
       " Equity(461 [VRTX]),\n",
       " Equity(462 [VTR]),\n",
       " Equity(463 [VZ]),\n",
       " Equity(464 [WAT]),\n",
       " Equity(465 [WBA]),\n",
       " Equity(466 [WDC]),\n",
       " Equity(467 [WEC]),\n",
       " Equity(468 [WFC]),\n",
       " Equity(469 [WHR]),\n",
       " Equity(471 [WM]),\n",
       " Equity(472 [WMB]),\n",
       " Equity(473 [WMT]),\n",
       " Equity(474 [WRK]),\n",
       " Equity(475 [WU]),\n",
       " Equity(476 [WY]),\n",
       " Equity(477 [WYN]),\n",
       " Equity(478 [WYNN]),\n",
       " Equity(479 [XEC]),\n",
       " Equity(480 [XEL]),\n",
       " Equity(481 [XL]),\n",
       " Equity(482 [XLNX]),\n",
       " Equity(483 [XOM]),\n",
       " Equity(484 [XRAY]),\n",
       " Equity(485 [XRX]),\n",
       " Equity(486 [XYL]),\n",
       " Equity(487 [YUM]),\n",
       " Equity(488 [ZBH]),\n",
       " Equity(489 [ZION]),\n",
       " Equity(490 [ZTS])]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "universe_end_date = pd.Timestamp('2016-01-05', tz='UTC')\n",
    "\n",
    "universe_tickers = engine\\\n",
    "    .run_pipeline(\n",
    "        Pipeline(screen=universe),\n",
    "        universe_end_date,\n",
    "        universe_end_date)\\\n",
    "    .index.get_level_values(1)\\\n",
    "    .values.tolist()\n",
    "    \n",
    "universe_tickers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "490"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(universe_tickers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from zipline.data.data_portal import DataPortal\n",
    "\n",
    "data_portal = DataPortal(\n",
    "    bundle_data.asset_finder,\n",
    "    trading_calendar=trading_calendar,\n",
    "    first_trading_day=bundle_data.equity_daily_bar_reader.first_trading_day,\n",
    "    equity_minute_reader=None,\n",
    "    equity_daily_reader=bundle_data.equity_daily_bar_reader,\n",
    "    adjustment_reader=bundle_data.adjustment_reader)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get pricing data helper function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from quiz_helper import get_pricing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## get pricing data into a dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Equity(0 [A])</th>\n",
       "      <th>Equity(1 [AAL])</th>\n",
       "      <th>Equity(2 [AAP])</th>\n",
       "      <th>Equity(3 [AAPL])</th>\n",
       "      <th>Equity(4 [ABBV])</th>\n",
       "      <th>Equity(5 [ABC])</th>\n",
       "      <th>Equity(6 [ABT])</th>\n",
       "      <th>Equity(7 [ACN])</th>\n",
       "      <th>Equity(8 [ADBE])</th>\n",
       "      <th>Equity(9 [ADI])</th>\n",
       "      <th>...</th>\n",
       "      <th>Equity(481 [XL])</th>\n",
       "      <th>Equity(482 [XLNX])</th>\n",
       "      <th>Equity(483 [XOM])</th>\n",
       "      <th>Equity(484 [XRAY])</th>\n",
       "      <th>Equity(485 [XRX])</th>\n",
       "      <th>Equity(486 [XYL])</th>\n",
       "      <th>Equity(487 [YUM])</th>\n",
       "      <th>Equity(488 [ZBH])</th>\n",
       "      <th>Equity(489 [ZION])</th>\n",
       "      <th>Equity(490 [ZTS])</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-01-07 00:00:00+00:00</th>\n",
       "      <td>0.008437</td>\n",
       "      <td>0.014230</td>\n",
       "      <td>0.026702</td>\n",
       "      <td>0.007146</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001994</td>\n",
       "      <td>0.004165</td>\n",
       "      <td>0.001648</td>\n",
       "      <td>-0.007127</td>\n",
       "      <td>-0.005818</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001838</td>\n",
       "      <td>-0.005619</td>\n",
       "      <td>0.005461</td>\n",
       "      <td>-0.004044</td>\n",
       "      <td>-0.013953</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012457</td>\n",
       "      <td>-0.000181</td>\n",
       "      <td>-0.010458</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-10 00:00:00+00:00</th>\n",
       "      <td>-0.004174</td>\n",
       "      <td>0.006195</td>\n",
       "      <td>0.007435</td>\n",
       "      <td>0.018852</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.005714</td>\n",
       "      <td>-0.008896</td>\n",
       "      <td>-0.008854</td>\n",
       "      <td>0.028714</td>\n",
       "      <td>0.002926</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000947</td>\n",
       "      <td>0.007814</td>\n",
       "      <td>-0.006081</td>\n",
       "      <td>0.010466</td>\n",
       "      <td>0.009733</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001440</td>\n",
       "      <td>0.007784</td>\n",
       "      <td>-0.017945</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-11 00:00:00+00:00</th>\n",
       "      <td>-0.001886</td>\n",
       "      <td>-0.043644</td>\n",
       "      <td>-0.005927</td>\n",
       "      <td>-0.002367</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009783</td>\n",
       "      <td>-0.002067</td>\n",
       "      <td>0.013717</td>\n",
       "      <td>0.000607</td>\n",
       "      <td>0.008753</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001314</td>\n",
       "      <td>0.010179</td>\n",
       "      <td>0.007442</td>\n",
       "      <td>0.007351</td>\n",
       "      <td>0.006116</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.006470</td>\n",
       "      <td>0.035676</td>\n",
       "      <td>0.007467</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-12 00:00:00+00:00</th>\n",
       "      <td>0.017254</td>\n",
       "      <td>-0.008237</td>\n",
       "      <td>0.013387</td>\n",
       "      <td>0.008133</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.005979</td>\n",
       "      <td>-0.001011</td>\n",
       "      <td>0.022969</td>\n",
       "      <td>0.017950</td>\n",
       "      <td>0.000257</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004986</td>\n",
       "      <td>0.015666</td>\n",
       "      <td>0.011763</td>\n",
       "      <td>0.027182</td>\n",
       "      <td>0.004386</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002631</td>\n",
       "      <td>0.014741</td>\n",
       "      <td>-0.011903</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-13 00:00:00+00:00</th>\n",
       "      <td>-0.004559</td>\n",
       "      <td>0.000955</td>\n",
       "      <td>0.003031</td>\n",
       "      <td>0.003657</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014925</td>\n",
       "      <td>-0.004451</td>\n",
       "      <td>-0.000400</td>\n",
       "      <td>-0.005719</td>\n",
       "      <td>-0.005012</td>\n",
       "      <td>...</td>\n",
       "      <td>0.030499</td>\n",
       "      <td>-0.003217</td>\n",
       "      <td>0.001694</td>\n",
       "      <td>0.000547</td>\n",
       "      <td>-0.018235</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.005084</td>\n",
       "      <td>-0.004665</td>\n",
       "      <td>-0.009178</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-14 00:00:00+00:00</th>\n",
       "      <td>0.003439</td>\n",
       "      <td>-0.009156</td>\n",
       "      <td>0.003022</td>\n",
       "      <td>0.008106</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001395</td>\n",
       "      <td>-0.010111</td>\n",
       "      <td>0.002590</td>\n",
       "      <td>0.012283</td>\n",
       "      <td>0.019827</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026607</td>\n",
       "      <td>0.025894</td>\n",
       "      <td>0.014743</td>\n",
       "      <td>-0.000287</td>\n",
       "      <td>0.026494</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.021661</td>\n",
       "      <td>0.005949</td>\n",
       "      <td>0.033177</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-18 00:00:00+00:00</th>\n",
       "      <td>0.034254</td>\n",
       "      <td>-0.062085</td>\n",
       "      <td>-0.004286</td>\n",
       "      <td>-0.022474</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020889</td>\n",
       "      <td>0.006621</td>\n",
       "      <td>0.006998</td>\n",
       "      <td>0.011542</td>\n",
       "      <td>0.032645</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001678</td>\n",
       "      <td>0.002501</td>\n",
       "      <td>0.011163</td>\n",
       "      <td>0.011589</td>\n",
       "      <td>0.006044</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029453</td>\n",
       "      <td>0.006998</td>\n",
       "      <td>-0.008534</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-19 00:00:00+00:00</th>\n",
       "      <td>-0.010224</td>\n",
       "      <td>-0.008929</td>\n",
       "      <td>0.008754</td>\n",
       "      <td>-0.005314</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.017144</td>\n",
       "      <td>0.002753</td>\n",
       "      <td>-0.002962</td>\n",
       "      <td>-0.007899</td>\n",
       "      <td>-0.020575</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.014834</td>\n",
       "      <td>-0.023590</td>\n",
       "      <td>-0.005968</td>\n",
       "      <td>-0.019899</td>\n",
       "      <td>-0.012847</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000818</td>\n",
       "      <td>-0.004098</td>\n",
       "      <td>-0.018433</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-20 00:00:00+00:00</th>\n",
       "      <td>-0.008496</td>\n",
       "      <td>0.021953</td>\n",
       "      <td>-0.004732</td>\n",
       "      <td>-0.018189</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004794</td>\n",
       "      <td>0.013322</td>\n",
       "      <td>0.018713</td>\n",
       "      <td>-0.012386</td>\n",
       "      <td>-0.002818</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.024512</td>\n",
       "      <td>0.007744</td>\n",
       "      <td>-0.006261</td>\n",
       "      <td>-0.000841</td>\n",
       "      <td>-0.033798</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.013182</td>\n",
       "      <td>-0.001612</td>\n",
       "      <td>-0.007972</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-21 00:00:00+00:00</th>\n",
       "      <td>0.007873</td>\n",
       "      <td>-0.041038</td>\n",
       "      <td>0.005544</td>\n",
       "      <td>-0.017911</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010642</td>\n",
       "      <td>-0.000853</td>\n",
       "      <td>-0.001952</td>\n",
       "      <td>-0.006569</td>\n",
       "      <td>-0.004113</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000615</td>\n",
       "      <td>0.015825</td>\n",
       "      <td>-0.003048</td>\n",
       "      <td>-0.000872</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.007590</td>\n",
       "      <td>0.009325</td>\n",
       "      <td>0.024020</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-24 00:00:00+00:00</th>\n",
       "      <td>0.014646</td>\n",
       "      <td>0.027473</td>\n",
       "      <td>-0.001106</td>\n",
       "      <td>0.032837</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005249</td>\n",
       "      <td>0.005223</td>\n",
       "      <td>0.008420</td>\n",
       "      <td>0.022843</td>\n",
       "      <td>0.014974</td>\n",
       "      <td>...</td>\n",
       "      <td>0.012359</td>\n",
       "      <td>0.016011</td>\n",
       "      <td>-0.004943</td>\n",
       "      <td>0.001660</td>\n",
       "      <td>0.008049</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000601</td>\n",
       "      <td>-0.016501</td>\n",
       "      <td>-0.023021</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-25 00:00:00+00:00</th>\n",
       "      <td>-0.006736</td>\n",
       "      <td>0.002982</td>\n",
       "      <td>0.009146</td>\n",
       "      <td>0.011710</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.009363</td>\n",
       "      <td>-0.004347</td>\n",
       "      <td>0.004859</td>\n",
       "      <td>-0.013811</td>\n",
       "      <td>-0.014505</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002178</td>\n",
       "      <td>0.006273</td>\n",
       "      <td>0.001154</td>\n",
       "      <td>0.001134</td>\n",
       "      <td>0.015143</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.006208</td>\n",
       "      <td>0.017142</td>\n",
       "      <td>-0.008836</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-26 00:00:00+00:00</th>\n",
       "      <td>-0.030736</td>\n",
       "      <td>0.066133</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>0.007193</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012227</td>\n",
       "      <td>-0.025241</td>\n",
       "      <td>0.012192</td>\n",
       "      <td>-0.001192</td>\n",
       "      <td>0.002837</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002628</td>\n",
       "      <td>0.005934</td>\n",
       "      <td>0.012453</td>\n",
       "      <td>0.000552</td>\n",
       "      <td>-0.076291</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.004803</td>\n",
       "      <td>-0.019524</td>\n",
       "      <td>-0.010626</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-27 00:00:00+00:00</th>\n",
       "      <td>0.007721</td>\n",
       "      <td>0.023178</td>\n",
       "      <td>-0.001553</td>\n",
       "      <td>-0.001877</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011833</td>\n",
       "      <td>-0.007928</td>\n",
       "      <td>0.000179</td>\n",
       "      <td>0.009845</td>\n",
       "      <td>0.007480</td>\n",
       "      <td>...</td>\n",
       "      <td>0.014267</td>\n",
       "      <td>0.021169</td>\n",
       "      <td>0.002751</td>\n",
       "      <td>0.016396</td>\n",
       "      <td>0.024664</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.003746</td>\n",
       "      <td>0.068754</td>\n",
       "      <td>0.020160</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-28 00:00:00+00:00</th>\n",
       "      <td>-0.018846</td>\n",
       "      <td>-0.080553</td>\n",
       "      <td>-0.000936</td>\n",
       "      <td>-0.020710</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.022262</td>\n",
       "      <td>-0.019200</td>\n",
       "      <td>-0.016035</td>\n",
       "      <td>-0.040177</td>\n",
       "      <td>-0.022460</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.025647</td>\n",
       "      <td>-0.020108</td>\n",
       "      <td>-0.011131</td>\n",
       "      <td>-0.021871</td>\n",
       "      <td>-0.022229</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.025001</td>\n",
       "      <td>-0.008472</td>\n",
       "      <td>-0.013873</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-31 00:00:00+00:00</th>\n",
       "      <td>0.003608</td>\n",
       "      <td>-0.023615</td>\n",
       "      <td>-0.002351</td>\n",
       "      <td>0.009578</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.003893</td>\n",
       "      <td>-0.007248</td>\n",
       "      <td>-0.000980</td>\n",
       "      <td>0.017236</td>\n",
       "      <td>0.013818</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004846</td>\n",
       "      <td>0.000298</td>\n",
       "      <td>0.021396</td>\n",
       "      <td>-0.007560</td>\n",
       "      <td>0.006615</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007748</td>\n",
       "      <td>0.009902</td>\n",
       "      <td>0.006378</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-01 00:00:00+00:00</th>\n",
       "      <td>0.011654</td>\n",
       "      <td>-0.001047</td>\n",
       "      <td>-0.009218</td>\n",
       "      <td>0.016818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011976</td>\n",
       "      <td>0.001546</td>\n",
       "      <td>0.017498</td>\n",
       "      <td>0.013918</td>\n",
       "      <td>0.021624</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015687</td>\n",
       "      <td>0.032003</td>\n",
       "      <td>0.040037</td>\n",
       "      <td>0.024795</td>\n",
       "      <td>0.024498</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014102</td>\n",
       "      <td>0.017746</td>\n",
       "      <td>0.030970</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-02 00:00:00+00:00</th>\n",
       "      <td>0.010112</td>\n",
       "      <td>-0.039304</td>\n",
       "      <td>-0.027477</td>\n",
       "      <td>-0.002053</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.021197</td>\n",
       "      <td>0.011068</td>\n",
       "      <td>0.003632</td>\n",
       "      <td>-0.002387</td>\n",
       "      <td>0.002280</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.012846</td>\n",
       "      <td>-0.004518</td>\n",
       "      <td>-0.005958</td>\n",
       "      <td>-0.010390</td>\n",
       "      <td>-0.001827</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006562</td>\n",
       "      <td>0.005161</td>\n",
       "      <td>-0.003706</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-03 00:00:00+00:00</th>\n",
       "      <td>-0.000289</td>\n",
       "      <td>0.007310</td>\n",
       "      <td>0.014126</td>\n",
       "      <td>-0.002560</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.003662</td>\n",
       "      <td>0.005894</td>\n",
       "      <td>0.004178</td>\n",
       "      <td>0.002991</td>\n",
       "      <td>-0.013341</td>\n",
       "      <td>...</td>\n",
       "      <td>0.010430</td>\n",
       "      <td>-0.008169</td>\n",
       "      <td>0.000347</td>\n",
       "      <td>0.008556</td>\n",
       "      <td>0.004596</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.031413</td>\n",
       "      <td>-0.000333</td>\n",
       "      <td>-0.000394</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-04 00:00:00+00:00</th>\n",
       "      <td>0.005627</td>\n",
       "      <td>-0.036500</td>\n",
       "      <td>0.024014</td>\n",
       "      <td>0.008915</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.033047</td>\n",
       "      <td>0.002616</td>\n",
       "      <td>-0.004360</td>\n",
       "      <td>-0.005070</td>\n",
       "      <td>0.019659</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009471</td>\n",
       "      <td>0.024709</td>\n",
       "      <td>-0.001917</td>\n",
       "      <td>0.003048</td>\n",
       "      <td>-0.005506</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001408</td>\n",
       "      <td>0.002471</td>\n",
       "      <td>0.016111</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-07 00:00:00+00:00</th>\n",
       "      <td>0.007709</td>\n",
       "      <td>0.052046</td>\n",
       "      <td>0.008114</td>\n",
       "      <td>0.015538</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.002178</td>\n",
       "      <td>-0.009341</td>\n",
       "      <td>0.002279</td>\n",
       "      <td>0.005995</td>\n",
       "      <td>-0.003514</td>\n",
       "      <td>...</td>\n",
       "      <td>0.006801</td>\n",
       "      <td>-0.005073</td>\n",
       "      <td>0.007803</td>\n",
       "      <td>0.006852</td>\n",
       "      <td>0.002768</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002028</td>\n",
       "      <td>-0.010876</td>\n",
       "      <td>0.027617</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-08 00:00:00+00:00</th>\n",
       "      <td>0.010854</td>\n",
       "      <td>0.016455</td>\n",
       "      <td>0.006202</td>\n",
       "      <td>0.009440</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002182</td>\n",
       "      <td>-0.001738</td>\n",
       "      <td>-0.000557</td>\n",
       "      <td>0.000298</td>\n",
       "      <td>-0.006010</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003846</td>\n",
       "      <td>0.001795</td>\n",
       "      <td>-0.006077</td>\n",
       "      <td>0.005182</td>\n",
       "      <td>-0.002761</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003851</td>\n",
       "      <td>-0.000495</td>\n",
       "      <td>0.004780</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-09 00:00:00+00:00</th>\n",
       "      <td>0.004664</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.016955</td>\n",
       "      <td>0.008332</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003006</td>\n",
       "      <td>-0.001530</td>\n",
       "      <td>0.001138</td>\n",
       "      <td>-0.016682</td>\n",
       "      <td>0.004781</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.011837</td>\n",
       "      <td>-0.001792</td>\n",
       "      <td>-0.005178</td>\n",
       "      <td>-0.018441</td>\n",
       "      <td>0.003705</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.001821</td>\n",
       "      <td>-0.009851</td>\n",
       "      <td>-0.004757</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-10 00:00:00+00:00</th>\n",
       "      <td>0.000413</td>\n",
       "      <td>-0.003048</td>\n",
       "      <td>-0.011367</td>\n",
       "      <td>-0.010109</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001101</td>\n",
       "      <td>-0.001110</td>\n",
       "      <td>0.005503</td>\n",
       "      <td>0.016965</td>\n",
       "      <td>0.004513</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.008947</td>\n",
       "      <td>0.003914</td>\n",
       "      <td>0.007876</td>\n",
       "      <td>0.005512</td>\n",
       "      <td>-0.004624</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004853</td>\n",
       "      <td>0.011449</td>\n",
       "      <td>-0.026498</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-11 00:00:00+00:00</th>\n",
       "      <td>-0.007150</td>\n",
       "      <td>0.028364</td>\n",
       "      <td>0.000764</td>\n",
       "      <td>0.006505</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.001375</td>\n",
       "      <td>0.001534</td>\n",
       "      <td>-0.011146</td>\n",
       "      <td>0.002979</td>\n",
       "      <td>0.015007</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001705</td>\n",
       "      <td>0.010765</td>\n",
       "      <td>-0.004562</td>\n",
       "      <td>0.007147</td>\n",
       "      <td>0.012021</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000616</td>\n",
       "      <td>0.009660</td>\n",
       "      <td>0.014256</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-14 00:00:00+00:00</th>\n",
       "      <td>0.001663</td>\n",
       "      <td>-0.015790</td>\n",
       "      <td>-0.023274</td>\n",
       "      <td>0.006529</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005750</td>\n",
       "      <td>0.009245</td>\n",
       "      <td>0.000202</td>\n",
       "      <td>0.005643</td>\n",
       "      <td>0.009877</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.011616</td>\n",
       "      <td>0.000318</td>\n",
       "      <td>0.025230</td>\n",
       "      <td>-0.005443</td>\n",
       "      <td>0.005476</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010657</td>\n",
       "      <td>0.002484</td>\n",
       "      <td>-0.010021</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-15 00:00:00+00:00</th>\n",
       "      <td>-0.011905</td>\n",
       "      <td>0.011043</td>\n",
       "      <td>-0.003926</td>\n",
       "      <td>0.002016</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.007329</td>\n",
       "      <td>0.016750</td>\n",
       "      <td>-0.008021</td>\n",
       "      <td>0.002363</td>\n",
       "      <td>0.000239</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.006079</td>\n",
       "      <td>-0.001804</td>\n",
       "      <td>-0.022853</td>\n",
       "      <td>0.004097</td>\n",
       "      <td>0.003604</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.008526</td>\n",
       "      <td>-0.001815</td>\n",
       "      <td>-0.004461</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-16 00:00:00+00:00</th>\n",
       "      <td>0.015123</td>\n",
       "      <td>0.001958</td>\n",
       "      <td>0.013860</td>\n",
       "      <td>0.008967</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.003554</td>\n",
       "      <td>-0.010502</td>\n",
       "      <td>0.027329</td>\n",
       "      <td>0.022098</td>\n",
       "      <td>-0.003905</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009174</td>\n",
       "      <td>0.003863</td>\n",
       "      <td>0.008682</td>\n",
       "      <td>0.000285</td>\n",
       "      <td>0.027093</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.008898</td>\n",
       "      <td>0.010557</td>\n",
       "      <td>0.001206</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-17 00:00:00+00:00</th>\n",
       "      <td>-0.003311</td>\n",
       "      <td>-0.017791</td>\n",
       "      <td>-0.024844</td>\n",
       "      <td>-0.013309</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029148</td>\n",
       "      <td>0.001301</td>\n",
       "      <td>0.011784</td>\n",
       "      <td>0.008360</td>\n",
       "      <td>0.008559</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015656</td>\n",
       "      <td>0.000318</td>\n",
       "      <td>0.002275</td>\n",
       "      <td>-0.001911</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003906</td>\n",
       "      <td>0.015325</td>\n",
       "      <td>-0.003227</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02-18 00:00:00+00:00</th>\n",
       "      <td>0.011078</td>\n",
       "      <td>-0.020103</td>\n",
       "      <td>-0.006693</td>\n",
       "      <td>-0.021595</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009620</td>\n",
       "      <td>0.012106</td>\n",
       "      <td>-0.007953</td>\n",
       "      <td>0.011721</td>\n",
       "      <td>-0.001691</td>\n",
       "      <td>...</td>\n",
       "      <td>0.053404</td>\n",
       "      <td>0.001447</td>\n",
       "      <td>0.007393</td>\n",
       "      <td>0.013148</td>\n",
       "      <td>-0.004390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.004110</td>\n",
       "      <td>0.023782</td>\n",
       "      <td>-0.017960</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-20 00:00:00+00:00</th>\n",
       "      <td>0.001072</td>\n",
       "      <td>-0.002373</td>\n",
       "      <td>0.002767</td>\n",
       "      <td>0.004381</td>\n",
       "      <td>0.009256</td>\n",
       "      <td>-0.000905</td>\n",
       "      <td>0.006113</td>\n",
       "      <td>0.006430</td>\n",
       "      <td>0.000545</td>\n",
       "      <td>-0.005843</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008131</td>\n",
       "      <td>0.000412</td>\n",
       "      <td>-0.006352</td>\n",
       "      <td>0.002793</td>\n",
       "      <td>0.002899</td>\n",
       "      <td>-0.004498</td>\n",
       "      <td>0.015060</td>\n",
       "      <td>-0.003176</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.008950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-23 00:00:00+00:00</th>\n",
       "      <td>-0.007094</td>\n",
       "      <td>0.002379</td>\n",
       "      <td>-0.001228</td>\n",
       "      <td>-0.012989</td>\n",
       "      <td>0.000646</td>\n",
       "      <td>-0.003728</td>\n",
       "      <td>-0.012381</td>\n",
       "      <td>-0.001206</td>\n",
       "      <td>0.001634</td>\n",
       "      <td>-0.044107</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.004696</td>\n",
       "      <td>-0.006955</td>\n",
       "      <td>0.006131</td>\n",
       "      <td>0.007345</td>\n",
       "      <td>0.027692</td>\n",
       "      <td>0.001322</td>\n",
       "      <td>-0.000966</td>\n",
       "      <td>-0.008581</td>\n",
       "      <td>-0.001992</td>\n",
       "      <td>-0.007600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-24 00:00:00+00:00</th>\n",
       "      <td>0.002085</td>\n",
       "      <td>-0.025309</td>\n",
       "      <td>0.003504</td>\n",
       "      <td>0.009594</td>\n",
       "      <td>-0.000323</td>\n",
       "      <td>-0.002336</td>\n",
       "      <td>0.000210</td>\n",
       "      <td>-0.004537</td>\n",
       "      <td>0.000435</td>\n",
       "      <td>0.063741</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000777</td>\n",
       "      <td>0.012960</td>\n",
       "      <td>0.019935</td>\n",
       "      <td>-0.009563</td>\n",
       "      <td>-0.012992</td>\n",
       "      <td>-0.001871</td>\n",
       "      <td>-0.004252</td>\n",
       "      <td>-0.009043</td>\n",
       "      <td>0.002650</td>\n",
       "      <td>-0.000651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-25 00:00:00+00:00</th>\n",
       "      <td>-0.008206</td>\n",
       "      <td>0.001938</td>\n",
       "      <td>0.006805</td>\n",
       "      <td>-0.007151</td>\n",
       "      <td>-0.013744</td>\n",
       "      <td>0.004365</td>\n",
       "      <td>-0.000862</td>\n",
       "      <td>-0.002338</td>\n",
       "      <td>-0.002500</td>\n",
       "      <td>-0.002810</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.008888</td>\n",
       "      <td>-0.004458</td>\n",
       "      <td>-0.007690</td>\n",
       "      <td>-0.002792</td>\n",
       "      <td>-0.001913</td>\n",
       "      <td>0.004824</td>\n",
       "      <td>0.002894</td>\n",
       "      <td>-0.006174</td>\n",
       "      <td>-0.000309</td>\n",
       "      <td>0.000868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-27 00:00:00+00:00</th>\n",
       "      <td>-0.003256</td>\n",
       "      <td>0.009201</td>\n",
       "      <td>0.003285</td>\n",
       "      <td>-0.001863</td>\n",
       "      <td>-0.004803</td>\n",
       "      <td>0.000612</td>\n",
       "      <td>0.000210</td>\n",
       "      <td>0.003363</td>\n",
       "      <td>0.004359</td>\n",
       "      <td>0.003315</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004736</td>\n",
       "      <td>0.004478</td>\n",
       "      <td>-0.000257</td>\n",
       "      <td>0.002633</td>\n",
       "      <td>0.003795</td>\n",
       "      <td>-0.002140</td>\n",
       "      <td>0.005105</td>\n",
       "      <td>-0.002869</td>\n",
       "      <td>0.005013</td>\n",
       "      <td>0.002343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-30 00:00:00+00:00</th>\n",
       "      <td>-0.010209</td>\n",
       "      <td>-0.010321</td>\n",
       "      <td>-0.012798</td>\n",
       "      <td>0.004159</td>\n",
       "      <td>-0.030838</td>\n",
       "      <td>-0.003542</td>\n",
       "      <td>-0.011004</td>\n",
       "      <td>-0.002228</td>\n",
       "      <td>-0.007703</td>\n",
       "      <td>0.019522</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004212</td>\n",
       "      <td>0.009348</td>\n",
       "      <td>0.005294</td>\n",
       "      <td>-0.007363</td>\n",
       "      <td>-0.007524</td>\n",
       "      <td>-0.006928</td>\n",
       "      <td>-0.006183</td>\n",
       "      <td>0.000101</td>\n",
       "      <td>-0.004339</td>\n",
       "      <td>-0.008071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-01 00:00:00+00:00</th>\n",
       "      <td>0.015748</td>\n",
       "      <td>0.048493</td>\n",
       "      <td>-0.002396</td>\n",
       "      <td>-0.008116</td>\n",
       "      <td>0.014957</td>\n",
       "      <td>0.008718</td>\n",
       "      <td>0.012022</td>\n",
       "      <td>0.008480</td>\n",
       "      <td>0.011918</td>\n",
       "      <td>-0.000970</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015192</td>\n",
       "      <td>0.011075</td>\n",
       "      <td>0.002821</td>\n",
       "      <td>0.021600</td>\n",
       "      <td>0.013276</td>\n",
       "      <td>0.008582</td>\n",
       "      <td>0.027170</td>\n",
       "      <td>0.016927</td>\n",
       "      <td>0.015028</td>\n",
       "      <td>0.006632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-02 00:00:00+00:00</th>\n",
       "      <td>-0.005284</td>\n",
       "      <td>0.012930</td>\n",
       "      <td>-0.027166</td>\n",
       "      <td>-0.009030</td>\n",
       "      <td>-0.022022</td>\n",
       "      <td>-0.006534</td>\n",
       "      <td>-0.005287</td>\n",
       "      <td>-0.004991</td>\n",
       "      <td>-0.005727</td>\n",
       "      <td>-0.006990</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.003858</td>\n",
       "      <td>-0.024693</td>\n",
       "      <td>-0.028571</td>\n",
       "      <td>0.007572</td>\n",
       "      <td>-0.029962</td>\n",
       "      <td>-0.018335</td>\n",
       "      <td>0.006313</td>\n",
       "      <td>-0.004473</td>\n",
       "      <td>-0.015448</td>\n",
       "      <td>-0.013610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-03 00:00:00+00:00</th>\n",
       "      <td>-0.009521</td>\n",
       "      <td>-0.012555</td>\n",
       "      <td>-0.019944</td>\n",
       "      <td>-0.009292</td>\n",
       "      <td>-0.027724</td>\n",
       "      <td>-0.001415</td>\n",
       "      <td>-0.023650</td>\n",
       "      <td>-0.015429</td>\n",
       "      <td>-0.022930</td>\n",
       "      <td>-0.027826</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.008294</td>\n",
       "      <td>-0.010820</td>\n",
       "      <td>-0.014327</td>\n",
       "      <td>0.002733</td>\n",
       "      <td>-0.000959</td>\n",
       "      <td>-0.005676</td>\n",
       "      <td>-0.024272</td>\n",
       "      <td>-0.028367</td>\n",
       "      <td>-0.015725</td>\n",
       "      <td>-0.025244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-04 00:00:00+00:00</th>\n",
       "      <td>0.020199</td>\n",
       "      <td>0.039303</td>\n",
       "      <td>0.006779</td>\n",
       "      <td>0.033246</td>\n",
       "      <td>0.018899</td>\n",
       "      <td>0.011957</td>\n",
       "      <td>0.026046</td>\n",
       "      <td>0.029924</td>\n",
       "      <td>0.029696</td>\n",
       "      <td>0.002713</td>\n",
       "      <td>...</td>\n",
       "      <td>0.022211</td>\n",
       "      <td>0.010326</td>\n",
       "      <td>0.005736</td>\n",
       "      <td>0.007495</td>\n",
       "      <td>0.011599</td>\n",
       "      <td>0.024774</td>\n",
       "      <td>0.041159</td>\n",
       "      <td>0.011977</td>\n",
       "      <td>0.024452</td>\n",
       "      <td>0.027882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-07 00:00:00+00:00</th>\n",
       "      <td>-0.000340</td>\n",
       "      <td>0.018020</td>\n",
       "      <td>-0.029578</td>\n",
       "      <td>-0.006298</td>\n",
       "      <td>-0.015921</td>\n",
       "      <td>0.000898</td>\n",
       "      <td>0.005727</td>\n",
       "      <td>-0.001463</td>\n",
       "      <td>-0.032188</td>\n",
       "      <td>-0.011988</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.008791</td>\n",
       "      <td>-0.026122</td>\n",
       "      <td>-0.001900</td>\n",
       "      <td>-0.029576</td>\n",
       "      <td>-0.019647</td>\n",
       "      <td>0.003540</td>\n",
       "      <td>-0.001384</td>\n",
       "      <td>-0.042085</td>\n",
       "      <td>-0.011841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-08 00:00:00+00:00</th>\n",
       "      <td>-0.023307</td>\n",
       "      <td>-0.026876</td>\n",
       "      <td>-0.008866</td>\n",
       "      <td>-0.000425</td>\n",
       "      <td>0.007114</td>\n",
       "      <td>0.004906</td>\n",
       "      <td>-0.000209</td>\n",
       "      <td>-0.000280</td>\n",
       "      <td>0.023661</td>\n",
       "      <td>-0.008216</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.004606</td>\n",
       "      <td>-0.003910</td>\n",
       "      <td>-0.028251</td>\n",
       "      <td>-0.012067</td>\n",
       "      <td>-0.004930</td>\n",
       "      <td>-0.017074</td>\n",
       "      <td>-0.010735</td>\n",
       "      <td>-0.006277</td>\n",
       "      <td>-0.031813</td>\n",
       "      <td>0.000666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-09 00:00:00+00:00</th>\n",
       "      <td>-0.005170</td>\n",
       "      <td>-0.020213</td>\n",
       "      <td>0.022223</td>\n",
       "      <td>-0.022077</td>\n",
       "      <td>-0.011303</td>\n",
       "      <td>0.001984</td>\n",
       "      <td>-0.012948</td>\n",
       "      <td>-0.014876</td>\n",
       "      <td>-0.023550</td>\n",
       "      <td>-0.023608</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.013092</td>\n",
       "      <td>-0.009934</td>\n",
       "      <td>0.013390</td>\n",
       "      <td>-0.021066</td>\n",
       "      <td>-0.009869</td>\n",
       "      <td>-0.000570</td>\n",
       "      <td>-0.023679</td>\n",
       "      <td>0.002205</td>\n",
       "      <td>-0.007490</td>\n",
       "      <td>-0.015900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-10 00:00:00+00:00</th>\n",
       "      <td>0.015039</td>\n",
       "      <td>0.010092</td>\n",
       "      <td>-0.009466</td>\n",
       "      <td>0.004763</td>\n",
       "      <td>-0.004463</td>\n",
       "      <td>0.012720</td>\n",
       "      <td>0.007772</td>\n",
       "      <td>0.002897</td>\n",
       "      <td>-0.006699</td>\n",
       "      <td>0.008821</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.006757</td>\n",
       "      <td>0.001883</td>\n",
       "      <td>0.000798</td>\n",
       "      <td>-0.000317</td>\n",
       "      <td>0.014970</td>\n",
       "      <td>0.012138</td>\n",
       "      <td>-0.008256</td>\n",
       "      <td>-0.000297</td>\n",
       "      <td>0.014759</td>\n",
       "      <td>0.019695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-11 00:00:00+00:00</th>\n",
       "      <td>-0.012227</td>\n",
       "      <td>-0.045356</td>\n",
       "      <td>-0.019179</td>\n",
       "      <td>-0.025740</td>\n",
       "      <td>-0.031185</td>\n",
       "      <td>0.001280</td>\n",
       "      <td>-0.020962</td>\n",
       "      <td>-0.021380</td>\n",
       "      <td>0.027653</td>\n",
       "      <td>-0.003843</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.014938</td>\n",
       "      <td>-0.012713</td>\n",
       "      <td>-0.017840</td>\n",
       "      <td>-0.017755</td>\n",
       "      <td>-0.012793</td>\n",
       "      <td>-0.013062</td>\n",
       "      <td>-0.025836</td>\n",
       "      <td>-0.010112</td>\n",
       "      <td>-0.029782</td>\n",
       "      <td>-0.005856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 00:00:00+00:00</th>\n",
       "      <td>-0.011197</td>\n",
       "      <td>-0.007618</td>\n",
       "      <td>-0.008325</td>\n",
       "      <td>-0.006189</td>\n",
       "      <td>0.025898</td>\n",
       "      <td>0.004406</td>\n",
       "      <td>0.010145</td>\n",
       "      <td>0.010071</td>\n",
       "      <td>0.020127</td>\n",
       "      <td>-0.001938</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007216</td>\n",
       "      <td>-0.000941</td>\n",
       "      <td>0.022738</td>\n",
       "      <td>-0.001835</td>\n",
       "      <td>-0.017913</td>\n",
       "      <td>0.011580</td>\n",
       "      <td>0.004910</td>\n",
       "      <td>0.005356</td>\n",
       "      <td>-0.014991</td>\n",
       "      <td>0.016583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-15 00:00:00+00:00</th>\n",
       "      <td>0.024683</td>\n",
       "      <td>0.019768</td>\n",
       "      <td>0.057990</td>\n",
       "      <td>-0.017686</td>\n",
       "      <td>0.017133</td>\n",
       "      <td>-0.008194</td>\n",
       "      <td>0.017415</td>\n",
       "      <td>0.003386</td>\n",
       "      <td>0.008149</td>\n",
       "      <td>-0.004743</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015392</td>\n",
       "      <td>0.013516</td>\n",
       "      <td>0.044710</td>\n",
       "      <td>0.004357</td>\n",
       "      <td>0.016222</td>\n",
       "      <td>0.001635</td>\n",
       "      <td>0.013410</td>\n",
       "      <td>0.015787</td>\n",
       "      <td>0.035626</td>\n",
       "      <td>0.008156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-16 00:00:00+00:00</th>\n",
       "      <td>0.010780</td>\n",
       "      <td>0.014190</td>\n",
       "      <td>0.029771</td>\n",
       "      <td>0.007685</td>\n",
       "      <td>0.021998</td>\n",
       "      <td>-0.000985</td>\n",
       "      <td>0.010080</td>\n",
       "      <td>0.022107</td>\n",
       "      <td>0.016379</td>\n",
       "      <td>0.017336</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004713</td>\n",
       "      <td>0.000531</td>\n",
       "      <td>-0.003522</td>\n",
       "      <td>0.008507</td>\n",
       "      <td>0.024937</td>\n",
       "      <td>0.020719</td>\n",
       "      <td>0.012809</td>\n",
       "      <td>0.008606</td>\n",
       "      <td>0.010755</td>\n",
       "      <td>0.002538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-17 00:00:00+00:00</th>\n",
       "      <td>-0.017212</td>\n",
       "      <td>-0.017122</td>\n",
       "      <td>-0.048190</td>\n",
       "      <td>-0.021196</td>\n",
       "      <td>-0.021696</td>\n",
       "      <td>0.007386</td>\n",
       "      <td>-0.017153</td>\n",
       "      <td>-0.053355</td>\n",
       "      <td>-0.014232</td>\n",
       "      <td>-0.024510</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001564</td>\n",
       "      <td>-0.018147</td>\n",
       "      <td>-0.015037</td>\n",
       "      <td>-0.003142</td>\n",
       "      <td>-0.007787</td>\n",
       "      <td>-0.026697</td>\n",
       "      <td>-0.018224</td>\n",
       "      <td>-0.011966</td>\n",
       "      <td>-0.015960</td>\n",
       "      <td>-0.007637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-18 00:00:00+00:00</th>\n",
       "      <td>-0.041084</td>\n",
       "      <td>-0.032259</td>\n",
       "      <td>-0.022863</td>\n",
       "      <td>-0.027064</td>\n",
       "      <td>-0.011342</td>\n",
       "      <td>-0.004497</td>\n",
       "      <td>-0.034461</td>\n",
       "      <td>-0.012883</td>\n",
       "      <td>-0.030679</td>\n",
       "      <td>-0.016940</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.019013</td>\n",
       "      <td>-0.012314</td>\n",
       "      <td>-0.008724</td>\n",
       "      <td>-0.010451</td>\n",
       "      <td>-0.003944</td>\n",
       "      <td>-0.017002</td>\n",
       "      <td>-0.004991</td>\n",
       "      <td>-0.017384</td>\n",
       "      <td>-0.037845</td>\n",
       "      <td>-0.002791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-21 00:00:00+00:00</th>\n",
       "      <td>0.009455</td>\n",
       "      <td>0.031863</td>\n",
       "      <td>0.000531</td>\n",
       "      <td>0.012254</td>\n",
       "      <td>0.008245</td>\n",
       "      <td>0.009916</td>\n",
       "      <td>0.007778</td>\n",
       "      <td>0.010404</td>\n",
       "      <td>0.003395</td>\n",
       "      <td>0.011962</td>\n",
       "      <td>...</td>\n",
       "      <td>0.006358</td>\n",
       "      <td>0.016776</td>\n",
       "      <td>-0.000255</td>\n",
       "      <td>0.007035</td>\n",
       "      <td>0.014779</td>\n",
       "      <td>0.008360</td>\n",
       "      <td>0.021714</td>\n",
       "      <td>0.012842</td>\n",
       "      <td>0.002271</td>\n",
       "      <td>0.015894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-22 00:00:00+00:00</th>\n",
       "      <td>0.010502</td>\n",
       "      <td>0.011670</td>\n",
       "      <td>-0.011760</td>\n",
       "      <td>-0.000927</td>\n",
       "      <td>0.024746</td>\n",
       "      <td>0.002617</td>\n",
       "      <td>0.009978</td>\n",
       "      <td>0.007473</td>\n",
       "      <td>0.024012</td>\n",
       "      <td>0.003326</td>\n",
       "      <td>...</td>\n",
       "      <td>0.031671</td>\n",
       "      <td>0.002735</td>\n",
       "      <td>0.005054</td>\n",
       "      <td>0.010047</td>\n",
       "      <td>0.038863</td>\n",
       "      <td>0.009977</td>\n",
       "      <td>-0.005448</td>\n",
       "      <td>0.014966</td>\n",
       "      <td>0.014553</td>\n",
       "      <td>0.008027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-23 00:00:00+00:00</th>\n",
       "      <td>0.011803</td>\n",
       "      <td>0.009219</td>\n",
       "      <td>0.008325</td>\n",
       "      <td>0.012869</td>\n",
       "      <td>0.017178</td>\n",
       "      <td>0.007567</td>\n",
       "      <td>0.013950</td>\n",
       "      <td>0.006365</td>\n",
       "      <td>0.009380</td>\n",
       "      <td>0.008296</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009199</td>\n",
       "      <td>0.009501</td>\n",
       "      <td>0.032702</td>\n",
       "      <td>0.007586</td>\n",
       "      <td>0.011193</td>\n",
       "      <td>0.017237</td>\n",
       "      <td>0.015349</td>\n",
       "      <td>0.010219</td>\n",
       "      <td>0.018773</td>\n",
       "      <td>0.005444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-24 00:00:00+00:00</th>\n",
       "      <td>-0.003682</td>\n",
       "      <td>0.012022</td>\n",
       "      <td>0.000465</td>\n",
       "      <td>-0.005341</td>\n",
       "      <td>-0.002041</td>\n",
       "      <td>0.000090</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.001820</td>\n",
       "      <td>-0.004224</td>\n",
       "      <td>0.005673</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009623</td>\n",
       "      <td>-0.000620</td>\n",
       "      <td>-0.010724</td>\n",
       "      <td>-0.002127</td>\n",
       "      <td>0.005553</td>\n",
       "      <td>-0.001614</td>\n",
       "      <td>-0.001620</td>\n",
       "      <td>0.001364</td>\n",
       "      <td>0.003975</td>\n",
       "      <td>0.003121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-28 00:00:00+00:00</th>\n",
       "      <td>0.007040</td>\n",
       "      <td>-0.013259</td>\n",
       "      <td>0.009526</td>\n",
       "      <td>-0.011204</td>\n",
       "      <td>0.004953</td>\n",
       "      <td>0.002309</td>\n",
       "      <td>-0.001550</td>\n",
       "      <td>-0.001441</td>\n",
       "      <td>-0.001060</td>\n",
       "      <td>-0.006164</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000503</td>\n",
       "      <td>-0.001064</td>\n",
       "      <td>-0.007439</td>\n",
       "      <td>0.004930</td>\n",
       "      <td>-0.021138</td>\n",
       "      <td>-0.003484</td>\n",
       "      <td>-0.002177</td>\n",
       "      <td>-0.006413</td>\n",
       "      <td>-0.005033</td>\n",
       "      <td>-0.004784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-29 00:00:00+00:00</th>\n",
       "      <td>0.019443</td>\n",
       "      <td>0.006256</td>\n",
       "      <td>0.010957</td>\n",
       "      <td>0.017976</td>\n",
       "      <td>0.011911</td>\n",
       "      <td>0.005569</td>\n",
       "      <td>0.017542</td>\n",
       "      <td>0.011914</td>\n",
       "      <td>0.011996</td>\n",
       "      <td>0.015224</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013813</td>\n",
       "      <td>0.007964</td>\n",
       "      <td>0.005336</td>\n",
       "      <td>0.011436</td>\n",
       "      <td>0.011283</td>\n",
       "      <td>0.004307</td>\n",
       "      <td>0.005415</td>\n",
       "      <td>0.007235</td>\n",
       "      <td>0.006174</td>\n",
       "      <td>0.008997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-30 00:00:00+00:00</th>\n",
       "      <td>-0.006384</td>\n",
       "      <td>-0.016085</td>\n",
       "      <td>-0.005254</td>\n",
       "      <td>-0.013056</td>\n",
       "      <td>0.005904</td>\n",
       "      <td>0.002391</td>\n",
       "      <td>-0.012017</td>\n",
       "      <td>0.005124</td>\n",
       "      <td>-0.000524</td>\n",
       "      <td>-0.013256</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.014617</td>\n",
       "      <td>-0.007064</td>\n",
       "      <td>-0.013261</td>\n",
       "      <td>-0.008079</td>\n",
       "      <td>0.001847</td>\n",
       "      <td>-0.006182</td>\n",
       "      <td>-0.005781</td>\n",
       "      <td>-0.002921</td>\n",
       "      <td>-0.012235</td>\n",
       "      <td>-0.001454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-31 00:00:00+00:00</th>\n",
       "      <td>-0.012432</td>\n",
       "      <td>-0.010532</td>\n",
       "      <td>-0.005879</td>\n",
       "      <td>-0.019199</td>\n",
       "      <td>-0.009372</td>\n",
       "      <td>-0.012481</td>\n",
       "      <td>-0.007953</td>\n",
       "      <td>-0.012844</td>\n",
       "      <td>-0.014064</td>\n",
       "      <td>-0.021745</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.016052</td>\n",
       "      <td>-0.018175</td>\n",
       "      <td>-0.002050</td>\n",
       "      <td>-0.009119</td>\n",
       "      <td>-0.008371</td>\n",
       "      <td>-0.010031</td>\n",
       "      <td>-0.010299</td>\n",
       "      <td>0.001176</td>\n",
       "      <td>-0.006212</td>\n",
       "      <td>-0.007051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-04 00:00:00+00:00</th>\n",
       "      <td>-0.028282</td>\n",
       "      <td>-0.033988</td>\n",
       "      <td>0.011494</td>\n",
       "      <td>0.000855</td>\n",
       "      <td>-0.027512</td>\n",
       "      <td>-0.017741</td>\n",
       "      <td>-0.044067</td>\n",
       "      <td>-0.025551</td>\n",
       "      <td>-0.020971</td>\n",
       "      <td>-0.015919</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.024767</td>\n",
       "      <td>-0.024922</td>\n",
       "      <td>-0.006276</td>\n",
       "      <td>-0.032711</td>\n",
       "      <td>-0.031051</td>\n",
       "      <td>-0.011520</td>\n",
       "      <td>-0.011489</td>\n",
       "      <td>-0.007604</td>\n",
       "      <td>-0.021614</td>\n",
       "      <td>-0.013564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-05 00:00:00+00:00</th>\n",
       "      <td>0.004058</td>\n",
       "      <td>-0.009541</td>\n",
       "      <td>-0.006830</td>\n",
       "      <td>-0.025054</td>\n",
       "      <td>-0.004169</td>\n",
       "      <td>0.014629</td>\n",
       "      <td>-0.000247</td>\n",
       "      <td>0.005207</td>\n",
       "      <td>0.004023</td>\n",
       "      <td>-0.007347</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002098</td>\n",
       "      <td>0.014863</td>\n",
       "      <td>0.008511</td>\n",
       "      <td>0.020390</td>\n",
       "      <td>-0.001957</td>\n",
       "      <td>-0.000286</td>\n",
       "      <td>-0.002495</td>\n",
       "      <td>0.020820</td>\n",
       "      <td>-0.010853</td>\n",
       "      <td>0.015647</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1256 rows × 490 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Equity(0 [A])  Equity(1 [AAL])  Equity(2 [AAP])  \\\n",
       "2011-01-07 00:00:00+00:00       0.008437         0.014230         0.026702   \n",
       "2011-01-10 00:00:00+00:00      -0.004174         0.006195         0.007435   \n",
       "2011-01-11 00:00:00+00:00      -0.001886        -0.043644        -0.005927   \n",
       "2011-01-12 00:00:00+00:00       0.017254        -0.008237         0.013387   \n",
       "2011-01-13 00:00:00+00:00      -0.004559         0.000955         0.003031   \n",
       "2011-01-14 00:00:00+00:00       0.003439        -0.009156         0.003022   \n",
       "2011-01-18 00:00:00+00:00       0.034254        -0.062085        -0.004286   \n",
       "2011-01-19 00:00:00+00:00      -0.010224        -0.008929         0.008754   \n",
       "2011-01-20 00:00:00+00:00      -0.008496         0.021953        -0.004732   \n",
       "2011-01-21 00:00:00+00:00       0.007873        -0.041038         0.005544   \n",
       "2011-01-24 00:00:00+00:00       0.014646         0.027473        -0.001106   \n",
       "2011-01-25 00:00:00+00:00      -0.006736         0.002982         0.009146   \n",
       "2011-01-26 00:00:00+00:00      -0.030736         0.066133         0.003593   \n",
       "2011-01-27 00:00:00+00:00       0.007721         0.023178        -0.001553   \n",
       "2011-01-28 00:00:00+00:00      -0.018846        -0.080553        -0.000936   \n",
       "2011-01-31 00:00:00+00:00       0.003608        -0.023615        -0.002351   \n",
       "2011-02-01 00:00:00+00:00       0.011654        -0.001047        -0.009218   \n",
       "2011-02-02 00:00:00+00:00       0.010112        -0.039304        -0.027477   \n",
       "2011-02-03 00:00:00+00:00      -0.000289         0.007310         0.014126   \n",
       "2011-02-04 00:00:00+00:00       0.005627        -0.036500         0.024014   \n",
       "2011-02-07 00:00:00+00:00       0.007709         0.052046         0.008114   \n",
       "2011-02-08 00:00:00+00:00       0.010854         0.016455         0.006202   \n",
       "2011-02-09 00:00:00+00:00       0.004664         0.000000         0.016955   \n",
       "2011-02-10 00:00:00+00:00       0.000413        -0.003048        -0.011367   \n",
       "2011-02-11 00:00:00+00:00      -0.007150         0.028364         0.000764   \n",
       "2011-02-14 00:00:00+00:00       0.001663        -0.015790        -0.023274   \n",
       "2011-02-15 00:00:00+00:00      -0.011905         0.011043        -0.003926   \n",
       "2011-02-16 00:00:00+00:00       0.015123         0.001958         0.013860   \n",
       "2011-02-17 00:00:00+00:00      -0.003311        -0.017791        -0.024844   \n",
       "2011-02-18 00:00:00+00:00       0.011078        -0.020103        -0.006693   \n",
       "...                                  ...              ...              ...   \n",
       "2015-11-20 00:00:00+00:00       0.001072        -0.002373         0.002767   \n",
       "2015-11-23 00:00:00+00:00      -0.007094         0.002379        -0.001228   \n",
       "2015-11-24 00:00:00+00:00       0.002085        -0.025309         0.003504   \n",
       "2015-11-25 00:00:00+00:00      -0.008206         0.001938         0.006805   \n",
       "2015-11-27 00:00:00+00:00      -0.003256         0.009201         0.003285   \n",
       "2015-11-30 00:00:00+00:00      -0.010209        -0.010321        -0.012798   \n",
       "2015-12-01 00:00:00+00:00       0.015748         0.048493        -0.002396   \n",
       "2015-12-02 00:00:00+00:00      -0.005284         0.012930        -0.027166   \n",
       "2015-12-03 00:00:00+00:00      -0.009521        -0.012555        -0.019944   \n",
       "2015-12-04 00:00:00+00:00       0.020199         0.039303         0.006779   \n",
       "2015-12-07 00:00:00+00:00      -0.000340         0.018020        -0.029578   \n",
       "2015-12-08 00:00:00+00:00      -0.023307        -0.026876        -0.008866   \n",
       "2015-12-09 00:00:00+00:00      -0.005170        -0.020213         0.022223   \n",
       "2015-12-10 00:00:00+00:00       0.015039         0.010092        -0.009466   \n",
       "2015-12-11 00:00:00+00:00      -0.012227        -0.045356        -0.019179   \n",
       "2015-12-14 00:00:00+00:00      -0.011197        -0.007618        -0.008325   \n",
       "2015-12-15 00:00:00+00:00       0.024683         0.019768         0.057990   \n",
       "2015-12-16 00:00:00+00:00       0.010780         0.014190         0.029771   \n",
       "2015-12-17 00:00:00+00:00      -0.017212        -0.017122        -0.048190   \n",
       "2015-12-18 00:00:00+00:00      -0.041084        -0.032259        -0.022863   \n",
       "2015-12-21 00:00:00+00:00       0.009455         0.031863         0.000531   \n",
       "2015-12-22 00:00:00+00:00       0.010502         0.011670        -0.011760   \n",
       "2015-12-23 00:00:00+00:00       0.011803         0.009219         0.008325   \n",
       "2015-12-24 00:00:00+00:00      -0.003682         0.012022         0.000465   \n",
       "2015-12-28 00:00:00+00:00       0.007040        -0.013259         0.009526   \n",
       "2015-12-29 00:00:00+00:00       0.019443         0.006256         0.010957   \n",
       "2015-12-30 00:00:00+00:00      -0.006384        -0.016085        -0.005254   \n",
       "2015-12-31 00:00:00+00:00      -0.012432        -0.010532        -0.005879   \n",
       "2016-01-04 00:00:00+00:00      -0.028282        -0.033988         0.011494   \n",
       "2016-01-05 00:00:00+00:00       0.004058        -0.009541        -0.006830   \n",
       "\n",
       "                           Equity(3 [AAPL])  Equity(4 [ABBV])  \\\n",
       "2011-01-07 00:00:00+00:00          0.007146          0.000000   \n",
       "2011-01-10 00:00:00+00:00          0.018852          0.000000   \n",
       "2011-01-11 00:00:00+00:00         -0.002367          0.000000   \n",
       "2011-01-12 00:00:00+00:00          0.008133          0.000000   \n",
       "2011-01-13 00:00:00+00:00          0.003657          0.000000   \n",
       "2011-01-14 00:00:00+00:00          0.008106          0.000000   \n",
       "2011-01-18 00:00:00+00:00         -0.022474          0.000000   \n",
       "2011-01-19 00:00:00+00:00         -0.005314          0.000000   \n",
       "2011-01-20 00:00:00+00:00         -0.018189          0.000000   \n",
       "2011-01-21 00:00:00+00:00         -0.017911          0.000000   \n",
       "2011-01-24 00:00:00+00:00          0.032837          0.000000   \n",
       "2011-01-25 00:00:00+00:00          0.011710          0.000000   \n",
       "2011-01-26 00:00:00+00:00          0.007193          0.000000   \n",
       "2011-01-27 00:00:00+00:00         -0.001877          0.000000   \n",
       "2011-01-28 00:00:00+00:00         -0.020710          0.000000   \n",
       "2011-01-31 00:00:00+00:00          0.009578          0.000000   \n",
       "2011-02-01 00:00:00+00:00          0.016818          0.000000   \n",
       "2011-02-02 00:00:00+00:00         -0.002053          0.000000   \n",
       "2011-02-03 00:00:00+00:00         -0.002560          0.000000   \n",
       "2011-02-04 00:00:00+00:00          0.008915          0.000000   \n",
       "2011-02-07 00:00:00+00:00          0.015538          0.000000   \n",
       "2011-02-08 00:00:00+00:00          0.009440          0.000000   \n",
       "2011-02-09 00:00:00+00:00          0.008332          0.000000   \n",
       "2011-02-10 00:00:00+00:00         -0.010109          0.000000   \n",
       "2011-02-11 00:00:00+00:00          0.006505          0.000000   \n",
       "2011-02-14 00:00:00+00:00          0.006529          0.000000   \n",
       "2011-02-15 00:00:00+00:00          0.002016          0.000000   \n",
       "2011-02-16 00:00:00+00:00          0.008967          0.000000   \n",
       "2011-02-17 00:00:00+00:00         -0.013309          0.000000   \n",
       "2011-02-18 00:00:00+00:00         -0.021595          0.000000   \n",
       "...                                     ...               ...   \n",
       "2015-11-20 00:00:00+00:00          0.004381          0.009256   \n",
       "2015-11-23 00:00:00+00:00         -0.012989          0.000646   \n",
       "2015-11-24 00:00:00+00:00          0.009594         -0.000323   \n",
       "2015-11-25 00:00:00+00:00         -0.007151         -0.013744   \n",
       "2015-11-27 00:00:00+00:00         -0.001863         -0.004803   \n",
       "2015-11-30 00:00:00+00:00          0.004159         -0.030838   \n",
       "2015-12-01 00:00:00+00:00         -0.008116          0.014957   \n",
       "2015-12-02 00:00:00+00:00         -0.009030         -0.022022   \n",
       "2015-12-03 00:00:00+00:00         -0.009292         -0.027724   \n",
       "2015-12-04 00:00:00+00:00          0.033246          0.018899   \n",
       "2015-12-07 00:00:00+00:00         -0.006298         -0.015921   \n",
       "2015-12-08 00:00:00+00:00         -0.000425          0.007114   \n",
       "2015-12-09 00:00:00+00:00         -0.022077         -0.011303   \n",
       "2015-12-10 00:00:00+00:00          0.004763         -0.004463   \n",
       "2015-12-11 00:00:00+00:00         -0.025740         -0.031185   \n",
       "2015-12-14 00:00:00+00:00         -0.006189          0.025898   \n",
       "2015-12-15 00:00:00+00:00         -0.017686          0.017133   \n",
       "2015-12-16 00:00:00+00:00          0.007685          0.021998   \n",
       "2015-12-17 00:00:00+00:00         -0.021196         -0.021696   \n",
       "2015-12-18 00:00:00+00:00         -0.027064         -0.011342   \n",
       "2015-12-21 00:00:00+00:00          0.012254          0.008245   \n",
       "2015-12-22 00:00:00+00:00         -0.000927          0.024746   \n",
       "2015-12-23 00:00:00+00:00          0.012869          0.017178   \n",
       "2015-12-24 00:00:00+00:00         -0.005341         -0.002041   \n",
       "2015-12-28 00:00:00+00:00         -0.011204          0.004953   \n",
       "2015-12-29 00:00:00+00:00          0.017976          0.011911   \n",
       "2015-12-30 00:00:00+00:00         -0.013056          0.005904   \n",
       "2015-12-31 00:00:00+00:00         -0.019199         -0.009372   \n",
       "2016-01-04 00:00:00+00:00          0.000855         -0.027512   \n",
       "2016-01-05 00:00:00+00:00         -0.025054         -0.004169   \n",
       "\n",
       "                           Equity(5 [ABC])  Equity(6 [ABT])  Equity(7 [ACN])  \\\n",
       "2011-01-07 00:00:00+00:00         0.001994         0.004165         0.001648   \n",
       "2011-01-10 00:00:00+00:00        -0.005714        -0.008896        -0.008854   \n",
       "2011-01-11 00:00:00+00:00         0.009783        -0.002067         0.013717   \n",
       "2011-01-12 00:00:00+00:00        -0.005979        -0.001011         0.022969   \n",
       "2011-01-13 00:00:00+00:00         0.014925        -0.004451        -0.000400   \n",
       "2011-01-14 00:00:00+00:00         0.001395        -0.010111         0.002590   \n",
       "2011-01-18 00:00:00+00:00         0.020889         0.006621         0.006998   \n",
       "2011-01-19 00:00:00+00:00        -0.017144         0.002753        -0.002962   \n",
       "2011-01-20 00:00:00+00:00         0.004794         0.013322         0.018713   \n",
       "2011-01-21 00:00:00+00:00         0.010642        -0.000853        -0.001952   \n",
       "2011-01-24 00:00:00+00:00         0.005249         0.005223         0.008420   \n",
       "2011-01-25 00:00:00+00:00        -0.009363        -0.004347         0.004859   \n",
       "2011-01-26 00:00:00+00:00         0.012227        -0.025241         0.012192   \n",
       "2011-01-27 00:00:00+00:00         0.011833        -0.007928         0.000179   \n",
       "2011-01-28 00:00:00+00:00        -0.022262        -0.019200        -0.016035   \n",
       "2011-01-31 00:00:00+00:00        -0.003893        -0.007248        -0.000980   \n",
       "2011-02-01 00:00:00+00:00         0.011976         0.001546         0.017498   \n",
       "2011-02-02 00:00:00+00:00        -0.021197         0.011068         0.003632   \n",
       "2011-02-03 00:00:00+00:00        -0.003662         0.005894         0.004178   \n",
       "2011-02-04 00:00:00+00:00         0.033047         0.002616        -0.004360   \n",
       "2011-02-07 00:00:00+00:00        -0.002178        -0.009341         0.002279   \n",
       "2011-02-08 00:00:00+00:00         0.002182        -0.001738        -0.000557   \n",
       "2011-02-09 00:00:00+00:00         0.003006        -0.001530         0.001138   \n",
       "2011-02-10 00:00:00+00:00         0.001101        -0.001110         0.005503   \n",
       "2011-02-11 00:00:00+00:00        -0.001375         0.001534        -0.011146   \n",
       "2011-02-14 00:00:00+00:00         0.005750         0.009245         0.000202   \n",
       "2011-02-15 00:00:00+00:00        -0.007329         0.016750        -0.008021   \n",
       "2011-02-16 00:00:00+00:00        -0.003554        -0.010502         0.027329   \n",
       "2011-02-17 00:00:00+00:00         0.029148         0.001301         0.011784   \n",
       "2011-02-18 00:00:00+00:00         0.009620         0.012106        -0.007953   \n",
       "...                                    ...              ...              ...   \n",
       "2015-11-20 00:00:00+00:00        -0.000905         0.006113         0.006430   \n",
       "2015-11-23 00:00:00+00:00        -0.003728        -0.012381        -0.001206   \n",
       "2015-11-24 00:00:00+00:00        -0.002336         0.000210        -0.004537   \n",
       "2015-11-25 00:00:00+00:00         0.004365        -0.000862        -0.002338   \n",
       "2015-11-27 00:00:00+00:00         0.000612         0.000210         0.003363   \n",
       "2015-11-30 00:00:00+00:00        -0.003542        -0.011004        -0.002228   \n",
       "2015-12-01 00:00:00+00:00         0.008718         0.012022         0.008480   \n",
       "2015-12-02 00:00:00+00:00        -0.006534        -0.005287        -0.004991   \n",
       "2015-12-03 00:00:00+00:00        -0.001415        -0.023650        -0.015429   \n",
       "2015-12-04 00:00:00+00:00         0.011957         0.026046         0.029924   \n",
       "2015-12-07 00:00:00+00:00         0.000898         0.005727        -0.001463   \n",
       "2015-12-08 00:00:00+00:00         0.004906        -0.000209        -0.000280   \n",
       "2015-12-09 00:00:00+00:00         0.001984        -0.012948        -0.014876   \n",
       "2015-12-10 00:00:00+00:00         0.012720         0.007772         0.002897   \n",
       "2015-12-11 00:00:00+00:00         0.001280        -0.020962        -0.021380   \n",
       "2015-12-14 00:00:00+00:00         0.004406         0.010145         0.010071   \n",
       "2015-12-15 00:00:00+00:00        -0.008194         0.017415         0.003386   \n",
       "2015-12-16 00:00:00+00:00        -0.000985         0.010080         0.022107   \n",
       "2015-12-17 00:00:00+00:00         0.007386        -0.017153        -0.053355   \n",
       "2015-12-18 00:00:00+00:00        -0.004497        -0.034461        -0.012883   \n",
       "2015-12-21 00:00:00+00:00         0.009916         0.007778         0.010404   \n",
       "2015-12-22 00:00:00+00:00         0.002617         0.009978         0.007473   \n",
       "2015-12-23 00:00:00+00:00         0.007567         0.013950         0.006365   \n",
       "2015-12-24 00:00:00+00:00         0.000090         0.000000        -0.001820   \n",
       "2015-12-28 00:00:00+00:00         0.002309        -0.001550        -0.001441   \n",
       "2015-12-29 00:00:00+00:00         0.005569         0.017542         0.011914   \n",
       "2015-12-30 00:00:00+00:00         0.002391        -0.012017         0.005124   \n",
       "2015-12-31 00:00:00+00:00        -0.012481        -0.007953        -0.012844   \n",
       "2016-01-04 00:00:00+00:00        -0.017741        -0.044067        -0.025551   \n",
       "2016-01-05 00:00:00+00:00         0.014629        -0.000247         0.005207   \n",
       "\n",
       "                           Equity(8 [ADBE])  Equity(9 [ADI])  \\\n",
       "2011-01-07 00:00:00+00:00         -0.007127        -0.005818   \n",
       "2011-01-10 00:00:00+00:00          0.028714         0.002926   \n",
       "2011-01-11 00:00:00+00:00          0.000607         0.008753   \n",
       "2011-01-12 00:00:00+00:00          0.017950         0.000257   \n",
       "2011-01-13 00:00:00+00:00         -0.005719        -0.005012   \n",
       "2011-01-14 00:00:00+00:00          0.012283         0.019827   \n",
       "2011-01-18 00:00:00+00:00          0.011542         0.032645   \n",
       "2011-01-19 00:00:00+00:00         -0.007899        -0.020575   \n",
       "2011-01-20 00:00:00+00:00         -0.012386        -0.002818   \n",
       "2011-01-21 00:00:00+00:00         -0.006569        -0.004113   \n",
       "2011-01-24 00:00:00+00:00          0.022843         0.014974   \n",
       "2011-01-25 00:00:00+00:00         -0.013811        -0.014505   \n",
       "2011-01-26 00:00:00+00:00         -0.001192         0.002837   \n",
       "2011-01-27 00:00:00+00:00          0.009845         0.007480   \n",
       "2011-01-28 00:00:00+00:00         -0.040177        -0.022460   \n",
       "2011-01-31 00:00:00+00:00          0.017236         0.013818   \n",
       "2011-02-01 00:00:00+00:00          0.013918         0.021624   \n",
       "2011-02-02 00:00:00+00:00         -0.002387         0.002280   \n",
       "2011-02-03 00:00:00+00:00          0.002991        -0.013341   \n",
       "2011-02-04 00:00:00+00:00         -0.005070         0.019659   \n",
       "2011-02-07 00:00:00+00:00          0.005995        -0.003514   \n",
       "2011-02-08 00:00:00+00:00          0.000298        -0.006010   \n",
       "2011-02-09 00:00:00+00:00         -0.016682         0.004781   \n",
       "2011-02-10 00:00:00+00:00          0.016965         0.004513   \n",
       "2011-02-11 00:00:00+00:00          0.002979         0.015007   \n",
       "2011-02-14 00:00:00+00:00          0.005643         0.009877   \n",
       "2011-02-15 00:00:00+00:00          0.002363         0.000239   \n",
       "2011-02-16 00:00:00+00:00          0.022098        -0.003905   \n",
       "2011-02-17 00:00:00+00:00          0.008360         0.008559   \n",
       "2011-02-18 00:00:00+00:00          0.011721        -0.001691   \n",
       "...                                     ...              ...   \n",
       "2015-11-20 00:00:00+00:00          0.000545        -0.005843   \n",
       "2015-11-23 00:00:00+00:00          0.001634        -0.044107   \n",
       "2015-11-24 00:00:00+00:00          0.000435         0.063741   \n",
       "2015-11-25 00:00:00+00:00         -0.002500        -0.002810   \n",
       "2015-11-27 00:00:00+00:00          0.004359         0.003315   \n",
       "2015-11-30 00:00:00+00:00         -0.007703         0.019522   \n",
       "2015-12-01 00:00:00+00:00          0.011918        -0.000970   \n",
       "2015-12-02 00:00:00+00:00         -0.005727        -0.006990   \n",
       "2015-12-03 00:00:00+00:00         -0.022930        -0.027826   \n",
       "2015-12-04 00:00:00+00:00          0.029696         0.002713   \n",
       "2015-12-07 00:00:00+00:00         -0.032188        -0.011988   \n",
       "2015-12-08 00:00:00+00:00          0.023661        -0.008216   \n",
       "2015-12-09 00:00:00+00:00         -0.023550        -0.023608   \n",
       "2015-12-10 00:00:00+00:00         -0.006699         0.008821   \n",
       "2015-12-11 00:00:00+00:00          0.027653        -0.003843   \n",
       "2015-12-14 00:00:00+00:00          0.020127        -0.001938   \n",
       "2015-12-15 00:00:00+00:00          0.008149        -0.004743   \n",
       "2015-12-16 00:00:00+00:00          0.016379         0.017336   \n",
       "2015-12-17 00:00:00+00:00         -0.014232        -0.024510   \n",
       "2015-12-18 00:00:00+00:00         -0.030679        -0.016940   \n",
       "2015-12-21 00:00:00+00:00          0.003395         0.011962   \n",
       "2015-12-22 00:00:00+00:00          0.024012         0.003326   \n",
       "2015-12-23 00:00:00+00:00          0.009380         0.008296   \n",
       "2015-12-24 00:00:00+00:00         -0.004224         0.005673   \n",
       "2015-12-28 00:00:00+00:00         -0.001060        -0.006164   \n",
       "2015-12-29 00:00:00+00:00          0.011996         0.015224   \n",
       "2015-12-30 00:00:00+00:00         -0.000524        -0.013256   \n",
       "2015-12-31 00:00:00+00:00         -0.014064        -0.021745   \n",
       "2016-01-04 00:00:00+00:00         -0.020971        -0.015919   \n",
       "2016-01-05 00:00:00+00:00          0.004023        -0.007347   \n",
       "\n",
       "                                 ...          Equity(481 [XL])  \\\n",
       "2011-01-07 00:00:00+00:00        ...                 -0.001838   \n",
       "2011-01-10 00:00:00+00:00        ...                  0.000947   \n",
       "2011-01-11 00:00:00+00:00        ...                  0.001314   \n",
       "2011-01-12 00:00:00+00:00        ...                  0.004986   \n",
       "2011-01-13 00:00:00+00:00        ...                  0.030499   \n",
       "2011-01-14 00:00:00+00:00        ...                  0.026607   \n",
       "2011-01-18 00:00:00+00:00        ...                  0.001678   \n",
       "2011-01-19 00:00:00+00:00        ...                 -0.014834   \n",
       "2011-01-20 00:00:00+00:00        ...                 -0.024512   \n",
       "2011-01-21 00:00:00+00:00        ...                  0.000000   \n",
       "2011-01-24 00:00:00+00:00        ...                  0.012359   \n",
       "2011-01-25 00:00:00+00:00        ...                  0.002178   \n",
       "2011-01-26 00:00:00+00:00        ...                  0.002628   \n",
       "2011-01-27 00:00:00+00:00        ...                  0.014267   \n",
       "2011-01-28 00:00:00+00:00        ...                 -0.025647   \n",
       "2011-01-31 00:00:00+00:00        ...                  0.004846   \n",
       "2011-02-01 00:00:00+00:00        ...                  0.015687   \n",
       "2011-02-02 00:00:00+00:00        ...                 -0.012846   \n",
       "2011-02-03 00:00:00+00:00        ...                  0.010430   \n",
       "2011-02-04 00:00:00+00:00        ...                  0.009471   \n",
       "2011-02-07 00:00:00+00:00        ...                  0.006801   \n",
       "2011-02-08 00:00:00+00:00        ...                  0.003846   \n",
       "2011-02-09 00:00:00+00:00        ...                 -0.011837   \n",
       "2011-02-10 00:00:00+00:00        ...                 -0.008947   \n",
       "2011-02-11 00:00:00+00:00        ...                  0.001705   \n",
       "2011-02-14 00:00:00+00:00        ...                 -0.011616   \n",
       "2011-02-15 00:00:00+00:00        ...                 -0.006079   \n",
       "2011-02-16 00:00:00+00:00        ...                  0.009174   \n",
       "2011-02-17 00:00:00+00:00        ...                  0.015656   \n",
       "2011-02-18 00:00:00+00:00        ...                  0.053404   \n",
       "...                              ...                       ...   \n",
       "2015-11-20 00:00:00+00:00        ...                  0.008131   \n",
       "2015-11-23 00:00:00+00:00        ...                 -0.004696   \n",
       "2015-11-24 00:00:00+00:00        ...                 -0.000777   \n",
       "2015-11-25 00:00:00+00:00        ...                 -0.008888   \n",
       "2015-11-27 00:00:00+00:00        ...                  0.004736   \n",
       "2015-11-30 00:00:00+00:00        ...                  0.004212   \n",
       "2015-12-01 00:00:00+00:00        ...                  0.015192   \n",
       "2015-12-02 00:00:00+00:00        ...                 -0.003858   \n",
       "2015-12-03 00:00:00+00:00        ...                 -0.008294   \n",
       "2015-12-04 00:00:00+00:00        ...                  0.022211   \n",
       "2015-12-07 00:00:00+00:00        ...                  0.000000   \n",
       "2015-12-08 00:00:00+00:00        ...                 -0.004606   \n",
       "2015-12-09 00:00:00+00:00        ...                 -0.013092   \n",
       "2015-12-10 00:00:00+00:00        ...                 -0.006757   \n",
       "2015-12-11 00:00:00+00:00        ...                 -0.014938   \n",
       "2015-12-14 00:00:00+00:00        ...                  0.007216   \n",
       "2015-12-15 00:00:00+00:00        ...                  0.015392   \n",
       "2015-12-16 00:00:00+00:00        ...                  0.004713   \n",
       "2015-12-17 00:00:00+00:00        ...                 -0.001564   \n",
       "2015-12-18 00:00:00+00:00        ...                 -0.019013   \n",
       "2015-12-21 00:00:00+00:00        ...                  0.006358   \n",
       "2015-12-22 00:00:00+00:00        ...                  0.031671   \n",
       "2015-12-23 00:00:00+00:00        ...                  0.009199   \n",
       "2015-12-24 00:00:00+00:00        ...                  0.009623   \n",
       "2015-12-28 00:00:00+00:00        ...                  0.000503   \n",
       "2015-12-29 00:00:00+00:00        ...                  0.013813   \n",
       "2015-12-30 00:00:00+00:00        ...                 -0.014617   \n",
       "2015-12-31 00:00:00+00:00        ...                 -0.016052   \n",
       "2016-01-04 00:00:00+00:00        ...                 -0.024767   \n",
       "2016-01-05 00:00:00+00:00        ...                  0.002098   \n",
       "\n",
       "                           Equity(482 [XLNX])  Equity(483 [XOM])  \\\n",
       "2011-01-07 00:00:00+00:00           -0.005619           0.005461   \n",
       "2011-01-10 00:00:00+00:00            0.007814          -0.006081   \n",
       "2011-01-11 00:00:00+00:00            0.010179           0.007442   \n",
       "2011-01-12 00:00:00+00:00            0.015666           0.011763   \n",
       "2011-01-13 00:00:00+00:00           -0.003217           0.001694   \n",
       "2011-01-14 00:00:00+00:00            0.025894           0.014743   \n",
       "2011-01-18 00:00:00+00:00            0.002501           0.011163   \n",
       "2011-01-19 00:00:00+00:00           -0.023590          -0.005968   \n",
       "2011-01-20 00:00:00+00:00            0.007744          -0.006261   \n",
       "2011-01-21 00:00:00+00:00            0.000615           0.015825   \n",
       "2011-01-24 00:00:00+00:00            0.016011          -0.004943   \n",
       "2011-01-25 00:00:00+00:00            0.006273           0.001154   \n",
       "2011-01-26 00:00:00+00:00            0.005934           0.012453   \n",
       "2011-01-27 00:00:00+00:00            0.021169           0.002751   \n",
       "2011-01-28 00:00:00+00:00           -0.020108          -0.011131   \n",
       "2011-01-31 00:00:00+00:00            0.000298           0.021396   \n",
       "2011-02-01 00:00:00+00:00            0.032003           0.040037   \n",
       "2011-02-02 00:00:00+00:00           -0.004518          -0.005958   \n",
       "2011-02-03 00:00:00+00:00           -0.008169           0.000347   \n",
       "2011-02-04 00:00:00+00:00            0.024709          -0.001917   \n",
       "2011-02-07 00:00:00+00:00           -0.005073           0.007803   \n",
       "2011-02-08 00:00:00+00:00            0.001795          -0.006077   \n",
       "2011-02-09 00:00:00+00:00           -0.001792          -0.005178   \n",
       "2011-02-10 00:00:00+00:00            0.003914           0.007876   \n",
       "2011-02-11 00:00:00+00:00            0.010765          -0.004562   \n",
       "2011-02-14 00:00:00+00:00            0.000318           0.025230   \n",
       "2011-02-15 00:00:00+00:00           -0.001804          -0.022853   \n",
       "2011-02-16 00:00:00+00:00            0.003863           0.008682   \n",
       "2011-02-17 00:00:00+00:00            0.000318           0.002275   \n",
       "2011-02-18 00:00:00+00:00            0.001447           0.007393   \n",
       "...                                       ...                ...   \n",
       "2015-11-20 00:00:00+00:00            0.000412          -0.006352   \n",
       "2015-11-23 00:00:00+00:00           -0.006955           0.006131   \n",
       "2015-11-24 00:00:00+00:00            0.012960           0.019935   \n",
       "2015-11-25 00:00:00+00:00           -0.004458          -0.007690   \n",
       "2015-11-27 00:00:00+00:00            0.004478          -0.000257   \n",
       "2015-11-30 00:00:00+00:00            0.009348           0.005294   \n",
       "2015-12-01 00:00:00+00:00            0.011075           0.002821   \n",
       "2015-12-02 00:00:00+00:00           -0.024693          -0.028571   \n",
       "2015-12-03 00:00:00+00:00           -0.010820          -0.014327   \n",
       "2015-12-04 00:00:00+00:00            0.010326           0.005736   \n",
       "2015-12-07 00:00:00+00:00           -0.008791          -0.026122   \n",
       "2015-12-08 00:00:00+00:00           -0.003910          -0.028251   \n",
       "2015-12-09 00:00:00+00:00           -0.009934           0.013390   \n",
       "2015-12-10 00:00:00+00:00            0.001883           0.000798   \n",
       "2015-12-11 00:00:00+00:00           -0.012713          -0.017840   \n",
       "2015-12-14 00:00:00+00:00           -0.000941           0.022738   \n",
       "2015-12-15 00:00:00+00:00            0.013516           0.044710   \n",
       "2015-12-16 00:00:00+00:00            0.000531          -0.003522   \n",
       "2015-12-17 00:00:00+00:00           -0.018147          -0.015037   \n",
       "2015-12-18 00:00:00+00:00           -0.012314          -0.008724   \n",
       "2015-12-21 00:00:00+00:00            0.016776          -0.000255   \n",
       "2015-12-22 00:00:00+00:00            0.002735           0.005054   \n",
       "2015-12-23 00:00:00+00:00            0.009501           0.032702   \n",
       "2015-12-24 00:00:00+00:00           -0.000620          -0.010724   \n",
       "2015-12-28 00:00:00+00:00           -0.001064          -0.007439   \n",
       "2015-12-29 00:00:00+00:00            0.007964           0.005336   \n",
       "2015-12-30 00:00:00+00:00           -0.007064          -0.013261   \n",
       "2015-12-31 00:00:00+00:00           -0.018175          -0.002050   \n",
       "2016-01-04 00:00:00+00:00           -0.024922          -0.006276   \n",
       "2016-01-05 00:00:00+00:00            0.014863           0.008511   \n",
       "\n",
       "                           Equity(484 [XRAY])  Equity(485 [XRX])  \\\n",
       "2011-01-07 00:00:00+00:00           -0.004044          -0.013953   \n",
       "2011-01-10 00:00:00+00:00            0.010466           0.009733   \n",
       "2011-01-11 00:00:00+00:00            0.007351           0.006116   \n",
       "2011-01-12 00:00:00+00:00            0.027182           0.004386   \n",
       "2011-01-13 00:00:00+00:00            0.000547          -0.018235   \n",
       "2011-01-14 00:00:00+00:00           -0.000287           0.026494   \n",
       "2011-01-18 00:00:00+00:00            0.011589           0.006044   \n",
       "2011-01-19 00:00:00+00:00           -0.019899          -0.012847   \n",
       "2011-01-20 00:00:00+00:00           -0.000841          -0.033798   \n",
       "2011-01-21 00:00:00+00:00           -0.003048          -0.000872   \n",
       "2011-01-24 00:00:00+00:00            0.001660           0.008049   \n",
       "2011-01-25 00:00:00+00:00            0.001134           0.015143   \n",
       "2011-01-26 00:00:00+00:00            0.000552          -0.076291   \n",
       "2011-01-27 00:00:00+00:00            0.016396           0.024664   \n",
       "2011-01-28 00:00:00+00:00           -0.021871          -0.022229   \n",
       "2011-01-31 00:00:00+00:00           -0.007560           0.006615   \n",
       "2011-02-01 00:00:00+00:00            0.024795           0.024498   \n",
       "2011-02-02 00:00:00+00:00           -0.010390          -0.001827   \n",
       "2011-02-03 00:00:00+00:00            0.008556           0.004596   \n",
       "2011-02-04 00:00:00+00:00            0.003048          -0.005506   \n",
       "2011-02-07 00:00:00+00:00            0.006852           0.002768   \n",
       "2011-02-08 00:00:00+00:00            0.005182          -0.002761   \n",
       "2011-02-09 00:00:00+00:00           -0.018441           0.003705   \n",
       "2011-02-10 00:00:00+00:00            0.005512          -0.004624   \n",
       "2011-02-11 00:00:00+00:00            0.007147           0.012021   \n",
       "2011-02-14 00:00:00+00:00           -0.005443           0.005476   \n",
       "2011-02-15 00:00:00+00:00            0.004097           0.003604   \n",
       "2011-02-16 00:00:00+00:00            0.000285           0.027093   \n",
       "2011-02-17 00:00:00+00:00           -0.001911           0.000000   \n",
       "2011-02-18 00:00:00+00:00            0.013148          -0.004390   \n",
       "...                                       ...                ...   \n",
       "2015-11-20 00:00:00+00:00            0.002793           0.002899   \n",
       "2015-11-23 00:00:00+00:00            0.007345           0.027692   \n",
       "2015-11-24 00:00:00+00:00           -0.009563          -0.012992   \n",
       "2015-11-25 00:00:00+00:00           -0.002792          -0.001913   \n",
       "2015-11-27 00:00:00+00:00            0.002633           0.003795   \n",
       "2015-11-30 00:00:00+00:00           -0.007363          -0.007524   \n",
       "2015-12-01 00:00:00+00:00            0.021600           0.013276   \n",
       "2015-12-02 00:00:00+00:00            0.007572          -0.029962   \n",
       "2015-12-03 00:00:00+00:00            0.002733          -0.000959   \n",
       "2015-12-04 00:00:00+00:00            0.007495           0.011599   \n",
       "2015-12-07 00:00:00+00:00           -0.001900          -0.029576   \n",
       "2015-12-08 00:00:00+00:00           -0.012067          -0.004930   \n",
       "2015-12-09 00:00:00+00:00           -0.021066          -0.009869   \n",
       "2015-12-10 00:00:00+00:00           -0.000317           0.014970   \n",
       "2015-12-11 00:00:00+00:00           -0.017755          -0.012793   \n",
       "2015-12-14 00:00:00+00:00           -0.001835          -0.017913   \n",
       "2015-12-15 00:00:00+00:00            0.004357           0.016222   \n",
       "2015-12-16 00:00:00+00:00            0.008507           0.024937   \n",
       "2015-12-17 00:00:00+00:00           -0.003142          -0.007787   \n",
       "2015-12-18 00:00:00+00:00           -0.010451          -0.003944   \n",
       "2015-12-21 00:00:00+00:00            0.007035           0.014779   \n",
       "2015-12-22 00:00:00+00:00            0.010047           0.038863   \n",
       "2015-12-23 00:00:00+00:00            0.007586           0.011193   \n",
       "2015-12-24 00:00:00+00:00           -0.002127           0.005553   \n",
       "2015-12-28 00:00:00+00:00            0.004930          -0.021138   \n",
       "2015-12-29 00:00:00+00:00            0.011436           0.011283   \n",
       "2015-12-30 00:00:00+00:00           -0.008079           0.001847   \n",
       "2015-12-31 00:00:00+00:00           -0.009119          -0.008371   \n",
       "2016-01-04 00:00:00+00:00           -0.032711          -0.031051   \n",
       "2016-01-05 00:00:00+00:00            0.020390          -0.001957   \n",
       "\n",
       "                           Equity(486 [XYL])  Equity(487 [YUM])  \\\n",
       "2011-01-07 00:00:00+00:00           0.000000           0.012457   \n",
       "2011-01-10 00:00:00+00:00           0.000000           0.001440   \n",
       "2011-01-11 00:00:00+00:00           0.000000          -0.006470   \n",
       "2011-01-12 00:00:00+00:00           0.000000           0.002631   \n",
       "2011-01-13 00:00:00+00:00           0.000000          -0.005084   \n",
       "2011-01-14 00:00:00+00:00           0.000000          -0.021661   \n",
       "2011-01-18 00:00:00+00:00           0.000000           0.029453   \n",
       "2011-01-19 00:00:00+00:00           0.000000           0.000818   \n",
       "2011-01-20 00:00:00+00:00           0.000000          -0.013182   \n",
       "2011-01-21 00:00:00+00:00           0.000000          -0.007590   \n",
       "2011-01-24 00:00:00+00:00           0.000000           0.000601   \n",
       "2011-01-25 00:00:00+00:00           0.000000          -0.006208   \n",
       "2011-01-26 00:00:00+00:00           0.000000          -0.004803   \n",
       "2011-01-27 00:00:00+00:00           0.000000          -0.003746   \n",
       "2011-01-28 00:00:00+00:00           0.000000          -0.025001   \n",
       "2011-01-31 00:00:00+00:00           0.000000           0.007748   \n",
       "2011-02-01 00:00:00+00:00           0.000000           0.014102   \n",
       "2011-02-02 00:00:00+00:00           0.000000           0.006562   \n",
       "2011-02-03 00:00:00+00:00           0.000000           0.031413   \n",
       "2011-02-04 00:00:00+00:00           0.000000           0.001408   \n",
       "2011-02-07 00:00:00+00:00           0.000000           0.002028   \n",
       "2011-02-08 00:00:00+00:00           0.000000           0.003851   \n",
       "2011-02-09 00:00:00+00:00           0.000000          -0.001821   \n",
       "2011-02-10 00:00:00+00:00           0.000000           0.004853   \n",
       "2011-02-11 00:00:00+00:00           0.000000           0.000616   \n",
       "2011-02-14 00:00:00+00:00           0.000000           0.010657   \n",
       "2011-02-15 00:00:00+00:00           0.000000           0.008526   \n",
       "2011-02-16 00:00:00+00:00           0.000000           0.008898   \n",
       "2011-02-17 00:00:00+00:00           0.000000           0.003906   \n",
       "2011-02-18 00:00:00+00:00           0.000000          -0.004110   \n",
       "...                                      ...                ...   \n",
       "2015-11-20 00:00:00+00:00          -0.004498           0.015060   \n",
       "2015-11-23 00:00:00+00:00           0.001322          -0.000966   \n",
       "2015-11-24 00:00:00+00:00          -0.001871          -0.004252   \n",
       "2015-11-25 00:00:00+00:00           0.004824           0.002894   \n",
       "2015-11-27 00:00:00+00:00          -0.002140           0.005105   \n",
       "2015-11-30 00:00:00+00:00          -0.006928          -0.006183   \n",
       "2015-12-01 00:00:00+00:00           0.008582           0.027170   \n",
       "2015-12-02 00:00:00+00:00          -0.018335           0.006313   \n",
       "2015-12-03 00:00:00+00:00          -0.005676          -0.024272   \n",
       "2015-12-04 00:00:00+00:00           0.024774           0.041159   \n",
       "2015-12-07 00:00:00+00:00          -0.019647           0.003540   \n",
       "2015-12-08 00:00:00+00:00          -0.017074          -0.010735   \n",
       "2015-12-09 00:00:00+00:00          -0.000570          -0.023679   \n",
       "2015-12-10 00:00:00+00:00           0.012138          -0.008256   \n",
       "2015-12-11 00:00:00+00:00          -0.013062          -0.025836   \n",
       "2015-12-14 00:00:00+00:00           0.011580           0.004910   \n",
       "2015-12-15 00:00:00+00:00           0.001635           0.013410   \n",
       "2015-12-16 00:00:00+00:00           0.020719           0.012809   \n",
       "2015-12-17 00:00:00+00:00          -0.026697          -0.018224   \n",
       "2015-12-18 00:00:00+00:00          -0.017002          -0.004991   \n",
       "2015-12-21 00:00:00+00:00           0.008360           0.021714   \n",
       "2015-12-22 00:00:00+00:00           0.009977          -0.005448   \n",
       "2015-12-23 00:00:00+00:00           0.017237           0.015349   \n",
       "2015-12-24 00:00:00+00:00          -0.001614          -0.001620   \n",
       "2015-12-28 00:00:00+00:00          -0.003484          -0.002177   \n",
       "2015-12-29 00:00:00+00:00           0.004307           0.005415   \n",
       "2015-12-30 00:00:00+00:00          -0.006182          -0.005781   \n",
       "2015-12-31 00:00:00+00:00          -0.010031          -0.010299   \n",
       "2016-01-04 00:00:00+00:00          -0.011520          -0.011489   \n",
       "2016-01-05 00:00:00+00:00          -0.000286          -0.002495   \n",
       "\n",
       "                           Equity(488 [ZBH])  Equity(489 [ZION])  \\\n",
       "2011-01-07 00:00:00+00:00          -0.000181           -0.010458   \n",
       "2011-01-10 00:00:00+00:00           0.007784           -0.017945   \n",
       "2011-01-11 00:00:00+00:00           0.035676            0.007467   \n",
       "2011-01-12 00:00:00+00:00           0.014741           -0.011903   \n",
       "2011-01-13 00:00:00+00:00          -0.004665           -0.009178   \n",
       "2011-01-14 00:00:00+00:00           0.005949            0.033177   \n",
       "2011-01-18 00:00:00+00:00           0.006998           -0.008534   \n",
       "2011-01-19 00:00:00+00:00          -0.004098           -0.018433   \n",
       "2011-01-20 00:00:00+00:00          -0.001612           -0.007972   \n",
       "2011-01-21 00:00:00+00:00           0.009325            0.024020   \n",
       "2011-01-24 00:00:00+00:00          -0.016501           -0.023021   \n",
       "2011-01-25 00:00:00+00:00           0.017142           -0.008836   \n",
       "2011-01-26 00:00:00+00:00          -0.019524           -0.010626   \n",
       "2011-01-27 00:00:00+00:00           0.068754            0.020160   \n",
       "2011-01-28 00:00:00+00:00          -0.008472           -0.013873   \n",
       "2011-01-31 00:00:00+00:00           0.009902            0.006378   \n",
       "2011-02-01 00:00:00+00:00           0.017746            0.030970   \n",
       "2011-02-02 00:00:00+00:00           0.005161           -0.003706   \n",
       "2011-02-03 00:00:00+00:00          -0.000333           -0.000394   \n",
       "2011-02-04 00:00:00+00:00           0.002471            0.016111   \n",
       "2011-02-07 00:00:00+00:00          -0.010876            0.027617   \n",
       "2011-02-08 00:00:00+00:00          -0.000495            0.004780   \n",
       "2011-02-09 00:00:00+00:00          -0.009851           -0.004757   \n",
       "2011-02-10 00:00:00+00:00           0.011449           -0.026498   \n",
       "2011-02-11 00:00:00+00:00           0.009660            0.014256   \n",
       "2011-02-14 00:00:00+00:00           0.002484           -0.010021   \n",
       "2011-02-15 00:00:00+00:00          -0.001815           -0.004461   \n",
       "2011-02-16 00:00:00+00:00           0.010557            0.001206   \n",
       "2011-02-17 00:00:00+00:00           0.015325           -0.003227   \n",
       "2011-02-18 00:00:00+00:00           0.023782           -0.017960   \n",
       "...                                      ...                 ...   \n",
       "2015-11-20 00:00:00+00:00          -0.003176            0.000000   \n",
       "2015-11-23 00:00:00+00:00          -0.008581           -0.001992   \n",
       "2015-11-24 00:00:00+00:00          -0.009043            0.002650   \n",
       "2015-11-25 00:00:00+00:00          -0.006174           -0.000309   \n",
       "2015-11-27 00:00:00+00:00          -0.002869            0.005013   \n",
       "2015-11-30 00:00:00+00:00           0.000101           -0.004339   \n",
       "2015-12-01 00:00:00+00:00           0.016927            0.015028   \n",
       "2015-12-02 00:00:00+00:00          -0.004473           -0.015448   \n",
       "2015-12-03 00:00:00+00:00          -0.028367           -0.015725   \n",
       "2015-12-04 00:00:00+00:00           0.011977            0.024452   \n",
       "2015-12-07 00:00:00+00:00          -0.001384           -0.042085   \n",
       "2015-12-08 00:00:00+00:00          -0.006277           -0.031813   \n",
       "2015-12-09 00:00:00+00:00           0.002205           -0.007490   \n",
       "2015-12-10 00:00:00+00:00          -0.000297            0.014759   \n",
       "2015-12-11 00:00:00+00:00          -0.010112           -0.029782   \n",
       "2015-12-14 00:00:00+00:00           0.005356           -0.014991   \n",
       "2015-12-15 00:00:00+00:00           0.015787            0.035626   \n",
       "2015-12-16 00:00:00+00:00           0.008606            0.010755   \n",
       "2015-12-17 00:00:00+00:00          -0.011966           -0.015960   \n",
       "2015-12-18 00:00:00+00:00          -0.017384           -0.037845   \n",
       "2015-12-21 00:00:00+00:00           0.012842            0.002271   \n",
       "2015-12-22 00:00:00+00:00           0.014966            0.014553   \n",
       "2015-12-23 00:00:00+00:00           0.010219            0.018773   \n",
       "2015-12-24 00:00:00+00:00           0.001364            0.003975   \n",
       "2015-12-28 00:00:00+00:00          -0.006413           -0.005033   \n",
       "2015-12-29 00:00:00+00:00           0.007235            0.006174   \n",
       "2015-12-30 00:00:00+00:00          -0.002921           -0.012235   \n",
       "2015-12-31 00:00:00+00:00           0.001176           -0.006212   \n",
       "2016-01-04 00:00:00+00:00          -0.007604           -0.021614   \n",
       "2016-01-05 00:00:00+00:00           0.020820           -0.010853   \n",
       "\n",
       "                           Equity(490 [ZTS])  \n",
       "2011-01-07 00:00:00+00:00           0.000000  \n",
       "2011-01-10 00:00:00+00:00           0.000000  \n",
       "2011-01-11 00:00:00+00:00           0.000000  \n",
       "2011-01-12 00:00:00+00:00           0.000000  \n",
       "2011-01-13 00:00:00+00:00           0.000000  \n",
       "2011-01-14 00:00:00+00:00           0.000000  \n",
       "2011-01-18 00:00:00+00:00           0.000000  \n",
       "2011-01-19 00:00:00+00:00           0.000000  \n",
       "2011-01-20 00:00:00+00:00           0.000000  \n",
       "2011-01-21 00:00:00+00:00           0.000000  \n",
       "2011-01-24 00:00:00+00:00           0.000000  \n",
       "2011-01-25 00:00:00+00:00           0.000000  \n",
       "2011-01-26 00:00:00+00:00           0.000000  \n",
       "2011-01-27 00:00:00+00:00           0.000000  \n",
       "2011-01-28 00:00:00+00:00           0.000000  \n",
       "2011-01-31 00:00:00+00:00           0.000000  \n",
       "2011-02-01 00:00:00+00:00           0.000000  \n",
       "2011-02-02 00:00:00+00:00           0.000000  \n",
       "2011-02-03 00:00:00+00:00           0.000000  \n",
       "2011-02-04 00:00:00+00:00           0.000000  \n",
       "2011-02-07 00:00:00+00:00           0.000000  \n",
       "2011-02-08 00:00:00+00:00           0.000000  \n",
       "2011-02-09 00:00:00+00:00           0.000000  \n",
       "2011-02-10 00:00:00+00:00           0.000000  \n",
       "2011-02-11 00:00:00+00:00           0.000000  \n",
       "2011-02-14 00:00:00+00:00           0.000000  \n",
       "2011-02-15 00:00:00+00:00           0.000000  \n",
       "2011-02-16 00:00:00+00:00           0.000000  \n",
       "2011-02-17 00:00:00+00:00           0.000000  \n",
       "2011-02-18 00:00:00+00:00           0.000000  \n",
       "...                                      ...  \n",
       "2015-11-20 00:00:00+00:00           0.008950  \n",
       "2015-11-23 00:00:00+00:00          -0.007600  \n",
       "2015-11-24 00:00:00+00:00          -0.000651  \n",
       "2015-11-25 00:00:00+00:00           0.000868  \n",
       "2015-11-27 00:00:00+00:00           0.002343  \n",
       "2015-11-30 00:00:00+00:00          -0.008071  \n",
       "2015-12-01 00:00:00+00:00           0.006632  \n",
       "2015-12-02 00:00:00+00:00          -0.013610  \n",
       "2015-12-03 00:00:00+00:00          -0.025244  \n",
       "2015-12-04 00:00:00+00:00           0.027882  \n",
       "2015-12-07 00:00:00+00:00          -0.011841  \n",
       "2015-12-08 00:00:00+00:00           0.000666  \n",
       "2015-12-09 00:00:00+00:00          -0.015900  \n",
       "2015-12-10 00:00:00+00:00           0.019695  \n",
       "2015-12-11 00:00:00+00:00          -0.005856  \n",
       "2015-12-14 00:00:00+00:00           0.016583  \n",
       "2015-12-15 00:00:00+00:00           0.008156  \n",
       "2015-12-16 00:00:00+00:00           0.002538  \n",
       "2015-12-17 00:00:00+00:00          -0.007637  \n",
       "2015-12-18 00:00:00+00:00          -0.002791  \n",
       "2015-12-21 00:00:00+00:00           0.015894  \n",
       "2015-12-22 00:00:00+00:00           0.008027  \n",
       "2015-12-23 00:00:00+00:00           0.005444  \n",
       "2015-12-24 00:00:00+00:00           0.003121  \n",
       "2015-12-28 00:00:00+00:00          -0.004784  \n",
       "2015-12-29 00:00:00+00:00           0.008997  \n",
       "2015-12-30 00:00:00+00:00          -0.001454  \n",
       "2015-12-31 00:00:00+00:00          -0.007051  \n",
       "2016-01-04 00:00:00+00:00          -0.013564  \n",
       "2016-01-05 00:00:00+00:00           0.015647  \n",
       "\n",
       "[1256 rows x 490 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "returns_df = \\\n",
    "    get_pricing(\n",
    "        data_portal,\n",
    "        trading_calendar,\n",
    "        universe_tickers,\n",
    "        universe_end_date - pd.DateOffset(years=5),\n",
    "        universe_end_date)\\\n",
    "    .pct_change()[1:].fillna(0) #convert prices into returns\n",
    "\n",
    "returns_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's look at one stock\n",
    "\n",
    " Let's look at this for just one stock.  We'll pick AAPL in this example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "aapl_col = returns_df.columns[3]\n",
    "asset_return = returns_df[aapl_col]\n",
    "\n",
    "asset_return = asset_return.rename('asset_return')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Factor returns\n",
    "Let's make up a \"factor\" by taking an average of all stocks in our list.  You can think of this as an equal weighted index of the 490 stocks, kind of like a measure of the \"market\".  We'll also make another factor by calculating the median of all the stocks.  These are mainly intended to help us generate some data to work with.  We'll go into how some common risk factors are generated later in the lessons.\n",
    "\n",
    "Also note that we're setting axis=1 so that we calculate a value for each time period (row) instead of one value for each column (assets)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "factor_return_1 = returns_df.mean(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "factor_return_2 = returns_df.median(axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Factor exposures\n",
    "\n",
    "Factor exposures refer to how \"exposed\" a stock is to each factor.  We'll get into this more later.  For now, just think of this as one number for each stock, for each of the factors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "You can run these in separate cells to see each step in detail\n",
    "But for now, just assume that we're calculating a number for each \n",
    "stock, for each factor, which represents how \"exposed\" each stock is\n",
    "to each factor. \n",
    "We'll discuss how factor exposure is calculated later in the lessons.\n",
    "\"\"\"\n",
    "lr = LinearRegression()\n",
    "X = np.array([factor_return_1.values,factor_return_2.values]).T\n",
    "y = np.array(asset_return.values)\n",
    "lr.fit(X,y)\n",
    "factor_exposure_1 = lr.coef_[0]\n",
    "factor_exposure_2 = lr.coef_[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quiz 1 Contribution of Factors\n",
    "\n",
    "The sum of the products of factor exposure times factor return is the contribution of the factors.  It's also called the \"common return.\" calculate the common return of AAPL, given the two factor exposures and the two factor returns."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Answer 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the contribution of the two factors to the return of this example asset\n",
    "common_return = (factor_exposure_1 * factor_return_1) + (factor_exposure_2 * factor_return_2)\n",
    "common_return = common_return.rename('common_return')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quiz 2 Specific Return\n",
    "The specific return is the part of the stock return that isn't explained by the factors.  So it's the actual return minus the common return.  \n",
    "Calculate the specific return of the stock."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Answer 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: calculate the specific return of this asset\n",
    "specific_return = asset_return - common_return\n",
    "\n",
    "specific_return = specific_return.rename('specific_return')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize the common return and specific return\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>common_return</th>\n",
       "      <th>specific_return</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-01-07 00:00:00+00:00</th>\n",
       "      <td>0.000654</td>\n",
       "      <td>0.006492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01-10 00:00:00+00:00</th>\n",
       "      <td>0.000506</td>\n",
       "      <td>0.018346</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           common_return  specific_return\n",
       "2011-01-07 00:00:00+00:00       0.000654         0.006492\n",
       "2011-01-10 00:00:00+00:00       0.000506         0.018346"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "return_components = pd.concat([common_return,specific_return],axis=1)\n",
    "return_components.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f91f13e96a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f91f1404c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "return_components.plot(title=\"asset return = common return + specific return\");\n",
    "pd.DataFrame(asset_return).plot(color='purple');"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
